Lockdown helped this Managing Partner to brainstorm and find new opportunities for Marching Sheep – Economic Times

The current lockdown has taught Sonica Aron, Managing Partner, Marching Sheep how to take care of herself - physically, mentally and emotionally.

She told ET Panache, "Being foodies, we used to eat out almost twice a week. That did not help at all with my perpetual issue with weight management. So, I used to be a regular at the gym. The lockdown obviously put a complete stop on both the activities, eating out and hitting the gym. But my children, 12-year-old son and seven-year-old daughter adapted to the situation quickly. Fully cognizant of the fact that their mother is not going to enter the kitchen, they looked up recipes on the internet, and started producing delicacies every other day, from savory to desserts. We did not miss eating out at all but did put our fitness at risk."

Aron decided to follow her Apple watch. "I set up my daily target of workout at home. Looked up 45-minute videos of exercise without equipment. So, from Pilates, to yoga to HIIT. YouTube has a host of videos to choose from. On most days, I put a hard stop at 6 and workout. Not being a morning person, I do not force myself to work out in the mornings. When my watch tells me to stand, I stand and walk around. When it tells me to breathe, I take a minute to breathe deeply. Fitness Pal has been my calorie counter. There are cheat days, but on the whole, it keeps me in check," she said.

On an emotional level, Aron's garden is her haven. Having a cup of coffee, may be two in the morning in the garden gets her all rejuvenated.

"There is a cat who has made our garden her home. Initially we resisted but have now adopted her. Seeing her lap up milk gives a great amount of happiness to the entire family. Dinner time with family is fun, full of banter and how every ones day went. My children have online classes, and that comes with its own challenges. There is support needed when it comes to uploading homework and projects. Its interesting to see how tech savvy they are even at such young ages," Aron shared.

On the work front, the lockdown gave her an opportunity to look at the company's portfolio, spend time brain storming and revising it to meet the evolving needs of clients in these turbulent times.

The company is also spending time attending sessions that exposed them to several online platforms that have enabled then to deliver their interventions, from consulting to facilitations in a seamless manner. Keeping on learning has helped them immensely.

"The lockdown also gave an opportunity to forge strong relationships and collaborations. It is during this lockdown that we started working closely on delivering relevant sessions, like inclusion while remote working, building psychological safety and emotional resilience, in partnership with them. Non work-related interaction with clients led to building strong trusted advisor bonds and friendships," she said.

Aron's learning from this period are many. She explained, "We as human beings can adapt to any situation. We need to keep our goals in mind and work towards them in a resilient manner. We dont need too much to lead a happy life. Working from home requires us to be structured in our time management, so that we can give due time and importance to self and family as well. We need to evolve with the times. If we dont, we will perish. Our people are our biggest strength. My team has stood by me, walked with me, step by step. And that keeps us all going."

Taking care of oneself - physically, mentally and emotionally is paramount. "If you are feeling good and fit, you will take everything in your stride. This lockdown has been a reminder to us of how strong we really are. We just need to dig in and find that gold," she ended.

Not to shy away from difficult situations, these bosses share how they stayed in shape while stuck at home:

Ive taken up the challenge of how long I can hold a plank. From the earlier one minute, I can now plank up to close to two minutes. I want to get better. I plan on setting a new record soon. Holding the plank was something I always wanted to get better at in order to build my core.

I participated in the SOHFIT Reboot Challenge organised by a business organisation for its members. It was for 30 days and we were divided into teams, sharing details of our exercise regimen, food, water intake and sleep schedules with each other on a daily basis. Though I have been a hardcore fitness enthusiast for the better part of my li fe, this chal lenge proved to be the ultimate fitness experience. I was motivated to push my boundaries to the extreme and felt a sense of achievement and success when the chal lenge was completed. It made me feel stronger, fitter and happier.

My wife Vaishali and I have entered into a fitness and weight loss competition. We are both trying to get in shape and so far, shes comfortably ahead of me. But theres still some time to go.

I decided to use this opportunity to improve my physical conditioning. I started cycling (after more than 40 years) inside my gated community from mid-April. I went from seven kilometres per ride to 20 kilometres by the end of June. Recently, I did a 52-kilometre ride to Chikka Tirupathi [on the outskirts of Bengaluru]. Cycling has had a huge impact, not just on my physical conditioning but also my confidence.

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Lockdown helped this Managing Partner to brainstorm and find new opportunities for Marching Sheep - Economic Times

Otterly indispensable: How Otter.ai has transformed transcription – Verdict

Transcribing recordings is the bane of journalists, meeting note-takers and students everywhere. Enter Otter.ai, a speech-to-text transcription tool that works online or via a phone app using artificial intelligence (AI) and machine learning (ML) to carry out transcription, live or by uploading a speech file after the event.

Otter Live Notes for Zoom has proven particular popular during lockdown, enabling meeting participants to open a live transcript directly from Zoom then view, highlight, comment and add photos to create meeting notes collaboratively.

Otter.ai VP of Product Simon Lau talked to Verdict about the product, shared his top tips for users and revealed how the company got its name.

Simon Lau, VP of Product at Otter.

Simon Lau: The pandemic has forced everybody to adopt technology much quicker, so its very timely that we provided our integration with Zoom. Whether it is for deaf or hard-of-hearing students, accessibility for any participants that have accommodation needs, students who want to take notes, for meetings or interviews where you dont have to worry about taking a full transcription of the entire meeting, Otter is right there.

If you hear any anything interesting, you can just click on the highlight button and just to highlight that last sentence or two, so you can come back to it more easily and review it and playback just those important bits of your conversation.

We built the speech-to-text technology thats at the very core; turning English spoken audio or video into written English. So whether you call it speech-to-text or ASR [automated speech recognition], thats the core functionality of our speech engine. Thats one component of our Ambient Voice Intelligence, but on top of that, we also have by speaker diarisation and speaker identification.

Speaker diarisation is nothing more than separating speakers into one or two. So, without knowing Berenice and Simons voice, for example, the transcript should say speaker one, speaker two. Currently, we are able to do that after the fact, meaning that in real-time you dont see the labels yet, at this stage. But after this recording is done, we will be able to go back and take another pass and analyse the entire recording and be able to tell between speaker one speaker two. In the speech industry, this is called diarisation (or speaker separation). And speaker identification takes it further.

In the Otter product, you can click on speaker one, and then type in Berenice, you can click on speaker two, and type in Simon, and then Otter goes back and relabels them. It will also take the opportunity to create voiceprints for you and me so that it will go back and relabel the entire conversation for this particular recording, but also it will apply to future conversations. Lets say we have a follow up in six months or a year and we have another Zoom call again, then your voice will be recognised.

Were also building out other types of intelligence. A starting point is just summary keywords, because who has time to review the entire 60-minute recording of a podcast? Otter provides a set of summary keywords and associated word cloud that you can click on. You can get in a quick glance the gist of the conversation, and then move on. If you want to drill down a little bit more, you can click on key terms. That will turn into meeting notes that are actionable.

We also let users highlight and comment by selecting a sentence in the conversation and then it will automatically be collected into highlight summary and comment summary. At the very top of your Otter conversation, you can click on three highlights or comments, and youll be able to go back and only listen and review those three highlights.

It is ambient in the sense that Otter does not talk back to you; this is not like Siri, or Google Assistant, or any of the voice assistants that youre used to. This is not about question and answer. This is about Otter applying speech, and intelligence into your conversations silently ambiently behind the scenes to provide new value.

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Yeah, definitely, for example, Google Meet, Microsoft Teams, WebEx, RingCentral those are just a few that come into mind. We dont have any specific roadmap and timeframe to share yet, but we are still a very small team so were laser-focused on the building out the functionality for Zoom.

We want to provide a platform-agnostic way for our users to capture conversations and be able to review playback and collaborate and share content that they deem valuable. We want to give our users the choice because they might meet with people that use all the different platforms. You or your organisation might have a preferred platform that you tend to use for these remote and virtual meetings, but you are bound to be invited to many platforms and you still want to take notes on those. Thats why we offer a platform-agnostic way of capturing all of these important conversations and turn them into useful knowledge and useful notes.

We certainly want to expand to other languages. It wouldnt come as a surprise if I said Spanish, Japanese, Mandarin, Cantonese Chinese, German, Italian, French; those are the top languages that people request. We dont have a time frame to share at this point; it is in our future plans to expand to other languages but right now theres still more room for improvement for English, covering all the different accents. Hopefully, our laser focus on English, providing the top of the line accuracy across all types of environments, gives us the differentiation to be able to compete against all the other alternative solutions.

We have figured out a way to pick up new trending words quickly; it does require human intervention, its not completely automatic. Even as an individual account level, you as an Otter user would be able to go into your settings and be able to add custom vocabulary.

Thats particularly useful for any organisation that use acronyms. It makes sense to provide a very simple and easy way for customers to add custom vocabularies such as acronyms such as jargon, unique spellings of peoples names; there might podcasters who would be interviewing people and, and they want to make sure that as they interview their guests their names are transcribed correctly.

First and foremost, we want to provide the data for our users to analyse. We wont be able to share too far into the future what we plan to do, but the goal is that we want to provide value to our users. A business, school or organisation may get a licence of Otter because that they want to retain the knowledge of that meeting, their sales teams, their schools, all the lectures and all the educational material.

If you think along the lines of those use cases, there are specific requirements in each vertical on what type of conversation, analysis they want and they come to expect from Otter. So were gonna listen to those customers and build out a roadmap to satisfy those analysis requirements.

Nothing specific but I can speak broadly. Were very excited to roll out new functionalities for our speech engine and for our speaker identification that will take the next leap in improvement on that.

The top tip that I love to share with our users is to use Otter to record and transcribe live. That way you can take notes simply by highlighting in one tap, faster than you can type notes into document or jot things down with pen and paper.

By the time you finish the recording, Otter gives you both the detailed transcript and the summary of highlights containing just the important bits.

The inspiration for Otters name. (via David Groves on Unsplash)

The giant otter is one of the chattiest species on earth. The adults have 22 different calls and the babies have 11 calls of their own too. But most interestingly, most of the calls suggested an action, depending on the context. Our technology is all about accurately understanding human talk, and helping turn it into action, so we thought Otter was a great name. Plus, its a cute animal!

Read more: CTO Talk: Q&A with Cervests Alex Rahin

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Otterly indispensable: How Otter.ai has transformed transcription - Verdict

QIB announces new features to its award-winning Mobile App – The Peninsula Qatar

Doha: As part of QIBs ongoing efforts to provide innovative digital solutions to empower its customers, Qatar Islamic Bank (QIB) recently released the latest version of its award-winning QIB Mobile App with the introduction of key new features, as well as a host of performance enhancements.

Developed with its customers daily banking requirements in mind, the latest update further empower QIB customers by allowing them to fulfil the majority of their banking needs through the mobile app without the need to visit a branch.

Following the upgrade, customers can now update their QID and Passport information through the App, retrieve their username and unblock their access to the App, instantly settle Vodafone payments using Absher rewards points and request to cancel a Western Union transfer.

Customers who have an expired QID or passport in QIBs records are able to instantly update their details by simply uploading their renewed QID or Passport and continue to enjoy the full suite of QIB services offered by the App, including making transfers and payments or opening additional accounts.

The latest update, in response to the prioritized customer needs, enables users to retrieve their username and unblock their access to the App. To retrieve the app credentials, customers need to enter their debit card number and the cards PIN as well as the onetime password (OTP) which is sent to the customers registered mobile number with QIB. As part of QIBs continued efforts to reward the customers through the ABSHER Rewards Program, customers can now redeem their earned points to settle their Vodafone payments instantly through the App.

Customers can continue settling Ooredoo bills/ top-ups and Kahramaa bills by redeeming ABSHER Rewards Points through the app. Since the beginning of the year, QIB partnered with Western Union to offer the fastest and easiest way to send money anywhere in the world through the QIB Mobile App. Customers can now request to cancel a previously initiated Western Union transfer. The cancelation request is available in case the transfer is still pending and has not been yet collected by the beneficiary.

Commenting on the updates, D. Anand, QIBs General Manager Personal Banking Group, said: Customers will always remain at the heart of our business. As we continue to progress by deploying new and innovative digital solutions and technologies, we remain customer-centric throughout. By digitalizing our products and services, we are enabling our customers to perform the majority of their daily transactions by simply logging into our all-inclusive Mobile App from anywhere, without the need to visit a branch.

He added: Especially under the current circumstances, we urge our customers to continue using our digital channels for all their needs, while reminding them that we are available to support them with any banking request. Customers can call our Call Center or their respective Relationship Managers for any banking inquiry or support on how to use our digital banking services.

QIBs core strategy keeps customers best interests in mind, exemplified by the rigorous updates the banks digital platforms receive. The QIB Mobile App has become a single one-stop-shop for customers, providing multi-services and accommodating all financial requests.

Testifying to the quality services that QIB offers on its Mobile Application, the Bank achieved the highest rating amongst all local banks on Apple Store and Google Play Store, by receiving an average rating of 4.7 out of 5.0. To download the app, customers can visit the Apple Store or Google Play Store and search for the keyword: QIB Mobile App

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QIB announces new features to its award-winning Mobile App - The Peninsula Qatar

‘For a lot of these TikTok hits, the artists could be an avatar it wouldn’t matter.’ – Music Business Worldwide

When Roy LaManna founded Vydia in 2013, he had a simple elevator pitch: like TuneCore, but for video.

Seven years on, and Vydias model has shifted considerably. These days, its an independent audio plus video distribution and services platform that chooses to work exclusively with handpicked VIP artists. And we mean VIP.

Kanye West chose Vydia to distribute his Jesus Is Born LP on Christmas Day last year, while the likes of Akon, Mr Eazi and Latin megastar Anuel AA (with over 7bn YouTube views to date) also work closely with LaMannas service.

Most recently, Vydia has worked with rapper Lil Pump on his independent return, spearheaded by single ILLUMINATI (feat Anuel AA) which has racked up over 30m views on YouTube in less than three months.

In April, Dooney Battle co-founder of Tha Lights Global and Lil Pumps manager told MBW that Pump (whod previously signed a two-album, $8m deal with Warner Records) had recently turned down $5m-plus offers from major labels to release his new material, via Vydia, as an independent artist.

Vydias the new way, said Battle. The thing about Vydia thats different from the other distribution companies is that Roy and his team pick up the phone, they call, and they understand the culture. They aint just out here culture-vulturing.

They understand stuff popping on TikTok, and they understand artists that are huge with big bases, like Lil Pump. Thats why youve got artists like Kanye West putting out albums through them.

Battles line about LaManna and his team pick[ing] up the phone reflects an important facet of Vydias modern business model.

At one time in its history, Vydia was a true TuneCore-style DIY/self-upload platform, which explains why the company still has over 170,000 artists and creators going through its service.

But last year, in a similar pivot to rival Stem, Vydia decided to close off its platform to self-uploading, and instead hand-pick major-league artists with whom it could have a closer, more engaged relationship. (Unlike Stem, Vydia continues to allow those DIY artists who previously used its service to continue their relationship with the company.)

In addition to a reputation for uncommonly swift upload times across streaming platforms (including Spotify, Apple Music, TikTok and YouTube), Vydia offers these artists additional services including supply chain and rights management, social media marketing and, where applicable, a source of capital too.

The DIY [distribution] space is a race to the bottom, says LaManna of Vydias decision to exit the self-upload market. Its ended up being a price war, which is one of the reasons we decided not to focus on that market, because thats a losing battle.

In LaMannas mind, the winners in independent music distributions future will be twofold: Big, global distribution giants, and then smaller entities focusing on specific genres and/or geographies often working with artists who might not earn Ariana or Justin money, but are still, relatively speaking, living the good life from their music.

We see a thriving middle-market of artists growing right now, says LaManna. Artists are exiting these [major label] deals with an infrastructure around them and a significant fanbase; Vydia can really help to make their business more scalable.

Here, New Jersey-based LaManna tells MBW how he sees the future of the music business playing out, the role he believes Tencent will play in that evolution, and how the growing power of the independent artist sector will increasingly challenge Universal, Sony and Warner in the years ahead

We dont look for music talent to work with; we look for business talent. Thats why we focus on working with people like Dooney [Battle], who obviously brought us Lil Pump, but has also brought several other big artists to Vydia. We worked with Post Malone [before he signed to Republic], and still work with [Posts manager] Dre London; we worked with DaBaby [before he signed to Interscope] which gave us a business relationship with [King] Carter.

Working with guys like that speaks to our focus on working with the future Scooter Brauns and, as a result, working with the future Justin Biebers.

We dont look for music talent to work with; we look for business talent.

As a result, we fashion our tools more as business tools than artist tools. Were a back-end partner, and very happy with that role.

You wont hear us in the music [trade media] saying, Look we broke this artist! To me, its the Jobs-Wozniak kind of partnership. We provide the technology and infrastructure needed to help a manager build their artists business into something scalable.

Because it says something for the artists overall value if they have optionality.

Pump his bedroom, in conjunction with Tha Lights Global, made him a superstar in the first place, to the level he signed a multi-million-dollar deal [with Warner], right? So imagine what it does for your negotiating power, moving forward, to then prove you have options [outside of the major world].

In the past, whenever we bid for a project between us and a major, we often heard the argument of: But theyre gonna put it through the major label system. I think were now putting that idea to the test.

For specific genres, including hip-hop, Latin, trap, some of the afro-pop stuff, artists are realizing that their songs can be just as big independent maybe even bigger than going through the major system.

The [major label] system is not, I dont think, as efficient as companies like ours on the technology side.

Also, to be long term in this market, you have to consistently remain relevant. You cant just go away; if youre not putting stuff out at the frequency you need to be, you could fade to the background.

One of the things artists find important about remaining independent is the frequency with which they can release content, and the creative control they have in the process. The [major label] system is not, I dont think, as efficient as companies like ours on the technology side.

Our big thing is speed to market; if someone wants to release a track today and get it live within hours, we can support that.

I dont think that theres gonna be three companies sitting on top of the global music industry, and that theyre just gonna suck up everything. I actually think were gonna see a lot of these management companies and these labels going small; I think its gonna be a million little pieces.

Artists, as a whole, want to be part of the community. Whether thats Lookout Records and Green Day, or Nirvana and Sub Pop, or the rise of hip hop and Def Jam, theres always these independent labels that come alongside those communities. I think that thats going to happen [again] now, but at a much bigger scale.

Ultimately artists just want to be part of their communities and not part of the big machines.

Quite honestly, I think a lot of companies who consider themselves tech companies the were gonna raise $100 million and win the space companies have this wrong. I dont think [the indie distribution market] is a zero sum game like that.

Ultimately, these [distribution] companies need to seek some sort of path to profitability. Artists should be very concerned about anyone that has that [raise lots of money and dominate] model, because were going to see a wave of these tech companies essentially going bankrupt when they cant sustain operations, because their overheads are so high.

Were going to see a wave of these tech companies essentially going bankrupt when they cant sustain operations, because their overheads are so high.

Also Im not convinced that artists using a DIY platform also then want to sign to that platform [to further their career]. From a branding perspective, theres a reason why theres Toyota and theres Lexus.

Artists want to feel like that theyre part of a more of an exclusive club than part of an everyday platform. Youve got to remember that, at the end of the day, this is still the entertainment business. Theres still a glam aspect to it.

I have this conversation with managers all the time. They think of themselves as a management company and I say, Youre a label!

If youre doing A&R, developing the artist, making the record, making the video thats what you are. When managers shy away from being a label, they think like: Well, I dont want to do royalty payments, accounting, clearances, distribution, DSP deals etc. And I tell them: Thats fine thats what we do!

When a manager shies away from being a label, theyre often really shying away from the prospect of doing the boring jobs, not the exciting jobs.

Weve built our own proprietary royalty and rights management system. We do all that back end accounting, all the supply chain.

When a manager shies away from being a label, theyre often really shying away from the prospect of doing the boring jobs, not the exciting jobs. So when they find out that well take over the boring part, it makes for a good partnership.

Ive had this conversation with Dre before. Its because this new generation of [managers] dont know the rules, and therefore dont abide by the rules. And they have something in their brain that can never be replaced by technology: a winning combination of business smarts and street smarts.

I mean, Dre could talk to a billion dollar CEO, and a guy on the street, and do business with both of them on the same day. Thats never getting replaced by an algorithm.

Dre could talk to a billion dollar CEO, and a guy on the street, and do business with both of them on the same day.

Like I said, I dont want to compete with these guys for walking into the red carpet, or taking credit for breaking their artists thats not our thing. Were actually very adamant about saying that we dont break artists. We support people who do break artists.

You know that phrase: The coach outlasts the player? We focus on the coaches and we let them find the players.

Yes. We think that theres an education needed not only for young managers, but for young artists too.

I mean, weve done seven figures advances before. In all cases, those artists retain ownership of their content, but its not uncommon for me to also sit with them and help them think about their future how they should have fun with a bit of that [money], but also invest some for the future.

Thats not me being the greatest guy on the planet, its good business sense because, and Im just going to say it, youre seeing kids in hip-hop signing deals, getting a crazy amount of money, and then ending up either dead or in jail. And thats not good, right?

I consider myself a pretty responsible adult But if you gave me a million dollars at 18 years old? Id get in a lot of fucking trouble.

I consider myself a pretty responsible adult who runs a business. But if you gave me a million dollars at 18 years old? Id get in a lot of fucking trouble. I didnt see more than $10,000 in any one place until I was 30 and Im glad, because I wasnt mature enough to deal with that at the time.

I was irresponsible at that age most of us are. So Im definitely not saying that these kids are more or less responsible than anyone else, but you go from zero money to a lot of money overnight, it can be a recipe for disaster.

Thats one key thing: we sit down with artists and sometimes say, perhaps youre better off getting this money as an annuity, on a monthly basis. Or help them make other good financial decisions.

Were not a financial advisor, and we dont pretend to be, but from a mentoring standpoint, from one business person to another, its not uncommon for us to have those conversations.

My goal is not to raise any more capital; its to be self-sufficient. Weve heavily invested in technology, and thats important; one of the things many people dont realize is that [distributors] out there are putting sales ahead of infrastructure. And thats because infrastructure is very expensive, and its a long term investment.

We were very bullish on streaming after we got into the game [in 2013], which was a contrarian view at the time. Because of that investment in tech, we are now one of the few companies that do not rely on any third party for our technology.

Theres no secret partner at Vydia, hidden behind the door, getting a 10% cut [of artist income], like there is in a lot of these other companies.

We dont go through FUGA for our supply chain; were not partnered with Sony/ATV for publishing were able to do everything entirely on our own. Theres no secret partner here, hidden behind the door, thats also getting a 10% cut [of artist income], like there is in a lot of these other companies.

That came at a significant cost and, thank goodness, most of that cost is behind us.

I think [the industrys] moving towards replacing the artist, to be honest with you.

Between them, Tencent and Epic Games are investing in 3D scanning companies, which can scan artists, and put those artists into [virtual environments, as well as] actually creating content without human artists involvement at a very low cost.

Thats a scary idea, but the reason its even feasible is because a big problem in the music business right now is understanding the difference between the artist and the song.

I think [the industrys] moving towards replacing the artist, to be honest with you I hate to say it, but with a lot of those TikTok hits, I mean, the artists could be an avatar it wouldnt matter.

I know Steve [Stoute] mentioned this a little bit with MBW [on our Podcast recently], that the major labels are buying lottery tickets on songs a lot of times; when the artist is almost an irrelevance. And I hate to say it, but a lot of these TikTok hits, I mean, the artists could be an avatar it wouldnt matter.

Thats why Vydia is so focused on building the careers of real artists, in lockstep with their forward-thinking managers. Thats a different market to the lottery, which is vulnerable to technology.

Where I disagree with Steve is his certainty that, with the way the futures going, the artist will have all the power. I dont know; I come from a production background. You could create, essentially, a virtual artist today. And I dont think a lot of the kids would care, to be honest with you.

Think about it: the virtual likeness of an artist; it doesnt get old, it doesnt get angry, it doesnt argue with you.

You look at Scooter Braun and Taylor Swift bringing that [personal fallout] to the surface; if Taylor wasnt doing that, no-one would know about that situation and no-one would care. So what if Taylor wasnt an artist, but an avatar? Basically a corporately-owned video game character.

what if Taylor Swift wasnt an artist, but an avatar?

Thats why I believe when you start connecting things like Tencent, Epic, Fortnite and those gaming moves, in five years time, we could be having a real conversation about this.

Dont forget that in the gaming world, theyre selling [virtual] merchandise at a 100% profit margin; thats got to make some managers and labels think, Holy shit! Tencent already has that figured out.Music Business Worldwide

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'For a lot of these TikTok hits, the artists could be an avatar it wouldn't matter.' - Music Business Worldwide

This quantumly generated app Randonautica is a reality game thats terrifying its players – NME

Its pitch black the kind of darkness that presses down on you like a heavy, hot quilt as the torch flicks from side to side along the overgrown pathway. There is no street lighting here in the woods, no residual sun or moonlight, so each time the light falls away, the darkness gobbles everything the trees, the brush, the weeds, the rubbish up again.

When a group of intrepid explorers first set out, the air was thick with giggles and banter. Now, they speak in hushed, urgent tones as the camera first pans across the distant splash of red buried in the undergrowth. Someone off-camera says theres a fucking cross there, boys and someone else guffaws. Fuck off, the guffawer says, and the pair share a short, unhappy laugh.

The camera moves closer, twigs snapping beneath the weight of the cameraman, and you realise Unhappy Voice #1 was right; there is a cross there. It wasnt, however, the splash of red you spotted a few moments ago. Its crudely made just two pieces of snapped plywood inelegantly nailed together with Chinese symbols scribbled at the bottom with Sharpie. The writing on the horizontal plank is less distinct, but that doesnt matter really, because your eyes are instead drawn to the offering nailed onto the cross.

Its a cheap plastic doll, its face and limbs spray-painted red. Nails protrude from the dolls wispy scalp, ears and mouth like a knock-off Hellraiser toy with an inverted cross stamped onto its forehead. There are more symbols here a trident, a pound sign, a female gender symbol, I think? and the left arm is severed completely, the hand nailed to the backboard and clumsily reattached to the torso via a twig. Its extremities look charred.

After poking it with a stick for a bit, the team turn to walk back the way they came, breathless and a little hysterical. No-one really talks about what theyve seen, but just inches from the car theres a sound of a bottle smashing and all five of them yelp and frantically paw at the handles, telling each other to lock their doors once theyre in. As they speed away, their words overlap as every one of them swears to the other that no, they didnt throw any bottle. Honest.

Credit: Randonautica

Immediately, the cameraman pulls out his phone and opens the app that directed them to that doll in the first place. Randonautica an app that promises to take you on a journey of true randomness might be new to you, but its currently entertaining millions across social media, flooding YouTube and TikTok with the experiences of would-be Randonauts that caption their videos in block-caps and dire warnings. WARNING NEVER DOWNLOAD RANDONAUTICA, says one. RANDONAUTICA IS NO JOKE WE FOUND A CRIME SCENE AND THE POLICE CAME, screams another.

This pair of Randonauts were taken to an abandoned shopping mall where outside, they found a motionless body that they couldnt quite discern was alive or not. The same guy later took a flight cross-country where a different Randonautica adventure led him to a box in the Nevada desert that housed nothing but a China bell commemorating the doomed (and alarmingly topical) 1986 marriage of Prince Andrew and Sarah Ferguson. DO NOT TRY THIS APP the video title sinisterly declares, although the Randonaut clearly doesnt value his own advice six of his last 10 videos are Rando-related.

A TikTok video, this one emblazoned with the legend please dont go randonauting, kicks off with a hysterical girl whose intention the word or phrase or emotion each player is asked to think of just as they boot up each mission was death. Weeping into the camera, she shares how shed stumbled upon a man lying in the gutter, his partner cradling him, bleeding from a gunshot wound inflicted by a drive-by shooting.

Credit: Randonautica

The developer states the app which is something of a mysterious Pokemon Go/Ouija board mash-up and listed as a simulation game on app stores has been downloaded 8million times and clocked up 400million views on TikTok.

Its been aided in no small part by the most infamous tale in Randonauticas annals in which players unwittingly followed coordinates to a washed-up suitcase that housed the grisly remains of not one but two dismembered corpses. Its probably not that surprising, then, that these kinds of coincidences are the ones clocking up the most views, encouraging some (read: many) content creators to leap onto the hype train with stories of their own.

In the very broadest sense, of course, the grave warnings are right Randonautica isnt safe. The random coordinates generated by the app can be anywhere at any time, and not only lead you to unsafe locations with unstable buildings, but they can lead you straight into a heap of trouble if you trespass, too.

Picking through abandoned trash is never recommended (please dont put yourself in a situation where you might accidentally stab yourself with a discarded needle), but even as the YouTubers heap warning upon warning in their intros dont play at night, dont play alone, dont be followed home they themselves are playing at night, playing alone and occasionally insist theyve been followed home, too.

Some theorise that the game uses your smartphones mic to hear intentions voiced aloud. Others intimate that given the app requires you to follow the coordinates on a map using GPS, this is how and why some players are being followed home. It doesnt seem to stop them playing and uploading it to the internet, though; Randonautica might be terrifying, but it seems to be terrifyingly lucrative, too.

Credit: Randonautica

The apps about page gives a spiel about pseudo and quantum entropy sources I remain unconvinced and players are asked to select a new location with an intention in mind. The results seem to vary wildly from stunning to the stunningly mundane, and we are, as humans, hardwired to seek out patterns and correlations where there are none.

Its clear the red-daubed plastic doll was not coincidental, though; either the lads themselves planted it or, admittedly less likely, a team working for the app did. Hidden in the weeds and at the end of a footpath as it was, theres no way I can accept its discovery was accidental.

I cant help but admit that Randonautica creeps me out in much the same way Ouija boards do. I can imagine it draws the same kind of ire and scepticism, too, with some maintaining its a harmless toy, and others professing it to be a dangerous tool of the occult.

I cant attest to its legitimacy because I dont know firsthand of anyone whos ever had a proper fright using it and I am much too much of a baby to try it myself (the fact that your GPS location is known to the app alone is enough of a deterrent). But like a lot of cheap, one-note horror games that clog up my YouTube subs page, I cant deny that its bloody good fun to watch.

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This quantumly generated app Randonautica is a reality game thats terrifying its players - NME

Solving common cross-platform issues when working with flutter – WhaTech

When mistreatment cross-platform frameworks, folks may forget the nuances of every of the platforms they need their code to run on. This text aims to handle that.

Specifically, people sometimes confuse it with the older Web-based mobile (and desktop) cross-platform frameworks, which basically were just Web pages running within browsers running within a wrapper app.

That was truly cross-platform in the sense that the interfaces were the same anyway because you only had access to the interfaces normally accessible on the Web.

Flutter isnt that, though: it runs natively on each platform, and it means each app runs just like it would run if it were written in Java/Kotlin or Objective-C/Swift on Android and iOS, pretty much. You need to know that because this implies that you need to take care of the many differences between these very diverse platforms.

I recently wrote on my diary concerning the necessity for a special approach to storing JWTs in net apps compared to mobile apps. That is due to the various nature of the platforms storage choices, and therefore the got to recognize every and their native development tools.

When you write a Web app, the storage options you have are:

1 Downloading/uploading files to/from disk, which requires user interaction and is therefore only suitable for files meant to be read or created by the user.

2. Using cookies, which may or may not be accessible from JS (depending on whether or not theyre httpOnly) and are automatically sent along with requests to a given domain and saved when they come as part of a response.

3. Using JS localStorage and sessionStorage, accessible by any JS on the website, but only from JS that is part of the pages of that website.

The situation when it comes to mobile apps is completely different. The storage options are the following:

1. Local app documents or cache storage, accessible by that app.

2. Other local storage paths for user-created/readable files.

3. NSUserDefaults and SharedPreferences respectively on iOS and Android for key-value storage.

4. Keychain on iOS and KeyStore on Android for secure storage of, respectively, any data and cryptographic keys.

Using the Flutter shared_preferences package uses localStorage on the Web, SharedPreferences on Android, and NSUserDefaults on iOS. Those have utterly completely different implications for your app, particularly if youre storing sensitive info like session tokens: localStorage are often scanned by the shopper, thus its a tangle if youre prone to XSS. although mobile apps arent very prone to XSS, SharedPreferences and NSUserDefaults don't seem to be secure storage ways as a result of they will be compromised on the shopper-facet since they're not secure storage and not encrypted.

Thats as a result of they're meant for user preferences, as mentioned here within the case of iOS and here within the robot documentation once talking concerning the protection library that is meant to produce wrappers to the SharedPreferences specifically to inscribe the info before storing it.

The only secure storage solutions on mobile are Keychain and KeyStore on iOS and Android respectively, whereas there is no secure storage on the Web. The Keychain and KeyStore area unit terribly completely different in nature, though: Keychain could be a generic credentials storage resolution, whereas the KeyStore is employed to store (and will generate) science keys, either stellate keys or public/private keys.

This means that if, for example, you would like to store a session token, on iOS you'll be able to let the OS manage the coding half and simply send your token to the Keychain, whereas on humanoid its a small amount a lot of manual expertise as a result of you would like to get (not hard-code, thats bad) a key, use it to cypher the token, store the encrypted token in SharedPreferences and store the key within the KeyStore.

There area unit completely different approaches to it, as area unit most things in security, however, the only is perhaps to use stellate coding, as there's no want for public-key cryptography since your app each encrypts and decrypts the token. Obviously, you dont have to be compelled to write mobile platform-specific code that will all of that, as there is a Flutter plugin that does all of that, for instance.

Those areas arent accessible by JS and are sent solely to your server. the problem thereupon is that theyre continuously sent to your server, notwithstanding one amongst your users clicks on a GET request address on somebody elses web site which GET request has aspect effects you or your user wont like. This really works for different request varieties moreover, its simply a lot of sophisticated. Its referred to as Cross-Site Request Forgery and you dont wish that.

Its among the net security threats mentioned in Mozillas MDN docs, wherever you'll be able to notice a lot of complete rationalization. There area unit interference strategies. the foremost common one has 2 tokens, actually: one amongst them aiming to the shopper as Associate in Nursing httpOnly cookie, the opposite as a part of the response.

The latter must be held on in localStorage and not in cookies as a result of we have a tendency to dont wish it to be sent mechanically to the server.

What if you have both a mobile app and a Web app?

That can be dealt with in one of two ways:

1. Use the same backend endpoint, but manually get and send the cookies using the cookie-related HTTP headers;

2. Create a separate non-Web backend endpoint that generates different token than either token used by the Web app and then allow for regular JWT authorization if the client is able to provide the mobile-only token.

Running Different Code On Different Platforms

Now, lets see how we can run different code on different platforms in order to be able to compensate for the differences.

Especially to unravel the matter of storage, a technique you'll do this is with a plugin package: plugins offer a typical Dart interface and might run totally different code on different platforms, together with native platform-specific Kotlin/Java or Swift/Objective-C code. Developing packages and plugins is quite complicated, however, its explained in several places on the net et al. (for example in Flutter books), together with the official Flutter documentation.

For mobile platforms, for example, there already may be a secure storage plugin, and thats flutter_secure_storage, that you'll notice associate example of the usage here, however that doesnt work on the net, as an example.

On the opposite hand, for easy key-value storage that additionally works on the net, theres a cross-platform Google-developed first-party plugin package known as shared_preferences, that incorporates a Web-specific part known as shared_preferences_web that uses NSUserDefaults, SharedPreferences or localStorage reckoning on the platform.

After importing package:flutter/foundation.dart, you can compare Theme.of(context).platform to the values:

TargetPlatform.android

TargetPlatform.iOS

TargetPlatform.linux

TargetPlatform.windows

TargetPlatform.macOS

TargetPlatform.fuchsia

and write your functions so that, for each platform you want to support, they do the appropriate thing. This will come especially useful for the next example of platform difference, and that is differences in how widgets are displayed on different platforms.

For that use case, in particular, there is also a reasonably popular flutter_platform_widgets plugin, which simplifies the development of platform-aware widgets.

You cant simply write cross-platform code and fake a browser, a phone, a computer, and a smartwatch area unit a similar factor unless you wish your humanoid and iOS app to be a WebView and your desktop app to be designed with lepton.

There area unit many reasons to not try this, and its not the purpose of this piece to convert you to use frameworks like Flutter instead that keep your app native, with all the performance and user expertise blessings that go with it, whereas permitting you to jot down code that's progressing to be a similar for all platforms most of the time.

That requires care and a focus, though, and a minimum of a basic data of the platforms you wish to support, their actual native genus Apis, and every one of that.

React Native users have to be compelled to pay even additional attention thereto as a result of that framework uses the inherent OS widgets, thus you really have to be compelled to pay even additional attention to however the app appearance by testing it extensively on each platform, while not having the ability to modify between iOS and Material device on the fly like its potential with Flutter.

There are some aspects of the UI of your app that are automatically changed when you switch platforms. This section also mentions what changes between Flutter and React Native in this respect.

Flutter is capable of rendering Material widgets on iOS (and Cupertino (iOS-like) widgets on Android), however, what it DOESNT do is show precisely the same factor on robot and iOS: Material theming particularly adapts to the conventions of every platform.

For instance, navigation animations and transitions and default fonts area units completely different, however, those dont impact your app that abundant. What might have an effect on a number of your decisions once it involves aesthetics or wife is that the indisputable fact that some static components conjointly modification.

Specifically, some icons modification between the 2 platforms, app bar titles area unit within the middle on iOS and on the left on robot (on the left of the on the market area just in case there's a back button or the button to open a Drawer (explained here within the Material style pointers and conjointly called a hamburger menu). Heres what a fabric app with a Drawer feels like on Android:

And what the same, very simple, Material app looks like on iOS:

On the online there's a small amount of a unique state of affairs, as mentioned conjointly during this Smashing article regarding Responsive net Development with Flutter:

specifically, additionally to having to optimize for larger screens and account for the means folks expect to navigate through your web site that is that the main focus of that article you have got to stress regarding the very fact that generally widgets square measure placed outside of the browser window.

Also, some phones have notches within the high a part of their screen or different impediments to the proper viewing of your app attributable to some form of obstruction. Both of those issues may be avoided by wrapping your conveniences during a SafeArea widget, that may be a explicit reasonably cushioning convenience that makes certain your widgets comprise an area wherever they will really be displayed empty preventive the users ability to envision them, be it a hardware or code constraint.

React Native needs far more attention and a way deeper information of every platform, additionally to requiring you to run the iOS machine furthermore because the mechanical man human at the terribly least so as to be able to check your app on each platform: its not identical and it converts its JavaScript UI parts to platform-specific widgets.

In alternative words, your React Native apps can invariably seem like iOS with Cupertino UI parts as they're generally known as and your mechanical man apps can invariably seem like regular Material style mechanical man apps as a result of its victimization the platforms widgets. The distinction here is that Flutter renders its widgets with its own low-level rendering engine, which implies you'll be able to check each app versions on one platform.

Getting Around That Issue

But that also means that you can do most of your Flutter development on a Linux or Windows workstation without sacrificing the experience of your iOS users, and then just build the app for the other platform and not have to worry about thoroughly testing it.

Next Steps

Cross-platform frameworks are awesome, but they shift responsibility to you, the developer, to understand how each platform works and how to make sure your app adapts and is pleasant to use for your users. Other small things to consider may be, for example, using different descriptions for what might be in essence the same thing if there are different conventions on different platforms.

Its great to not have to build the two (or more) apps separately using different languages, but you still need to keep in mind you are, in essence, building more than one app and that requires thinking about each of the apps you are building.

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Solving common cross-platform issues when working with flutter - WhaTech

End of the world: Conspiracy theorists say Doomsday and WW3 is COMING – claim – Daily Express

Doomsdayers are back on the end of the world prophecy, after analysing signs of the Bible. Some conspiracy theorists are saying the signs of the end times were written in the Bible, and now they are coming to fruition.

Once such sign is the emergence of a global pandemic like coronavirus, which would threaten all life, which Christian website End Times Truth says was spoken of in the Bible.

End Times said: The prophets saw a time of tremendous upheaval and destruction just before the end of this age.

"Some of them predicted that fire would consume all the works of man, while others said it would be a time of thick clouds and darkness.

"Jesus predicted that immediately before He returns the world would experience a time of trouble unparalleled in history where all life would be threatened.

Another sign which is spoken of is a world war, with End Times Truth predicting a likely war which will end in Israel, where Armageddon will take place.

The website said: "The prophets saw a time of tremendous upheaval and destruction just before the end of this age.

"Some of them predicted that fire would consume all the works of man, while others said it would be a time of thick clouds and darkness.

"Jesus predicted that immediately before He returns the world would experience a time of trouble unparalleled in history where all life would be threatened.

"In the Bible, this time is called the Great Tribulation. The prophets predicted that it would start with a war in the Middle East and lead to a global battle.

READ MORE:End of the world: Religions merging a sign of the coming Antichrist

"People today call this World War III, and it ends with a frightening nuclear exchange, which will devastate the world."

Ultimate, the End Times Truth says the end is very near, although there is little - or no - evidence this is the case.

The website said: "The recent fulfilment of End Times Biblical prophecy proves that we are now living in the Last Days.

"Predictions made thousands of years ago are coming true in our generation as never before. This means that the Return of Christ is drawing near, and there is not much time left before judgement comes.

"The current world system of evil is about to end in a fiery conflagration, and a spectacular new world of peace will be set up in its place by the Lord himself."

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End of the world: Conspiracy theorists say Doomsday and WW3 is COMING - claim - Daily Express

Posted in Ww3

WW3: Russia ramps up its military force with nuclear powered submarines – Daily Express

Two upgraded nuclear-powered submarines were laid down at the Sevmash Shipyard in Russia on Monday.The two submarines will get hypersonic weapons according to Sevmashs chief executive.

Sevmash CEO, Mikhail Budnichenko, said: Today we are laying down ships with hypersonic weapons, which are the future of the Russian submarine fleet.

President Vladimir Putin attended the ceremony for the Russian Navys first helicopter carriers at the Zaliv Shipyard on the Crimean Peninsula on Monday.

He said the two submarines, Project 885M Yasen-M, would be named the Voronezh and the Vladivostok in honour of the Russian military glory cities.

On Monday, three leading Russian shipyards simultaneously laid down six new ocean-going ships.

Two are universal amphibious assault ships in Kerch on the Crimean Peninsula.

Another two ships are frigates in St.Petersburg and two others are nuclear-powered submarines.

President Putin said the universal amphibious assault ships and the frigates will be named after Russian glorified military and naval commanders.

He said the commanders did much for strengthening the navy.

READ MORE:Russia more of a threat than Cold War following Brexit report

The contract for building the multi-purpose nuclear-powered submarines was signed last year at the Army-2019 international arms show.

The upgraded lead submarine is being prepared for its delivery to the Russian navy in 2020.

The submarines will carry hypersonic missiles as their basic weapons.

This comes as Russian and NATO militaries are increasing their activities in the Arctic.

DON'T MISSAndrew Neil points out glaring weakness in Russia report [UPDATE]WATCH: Adam Boulton catches out Putin's former spokesman [INSIGHT]Russia report: Kremlin ALREADY inside UK security infrastructure[ANALYSIS]

Both are seeking to heighten their presence in the region as rising temperatures make the area more accessible, according to Business Insider.

Russian and NATO forces are in close proximity in the European Arctic.

In 2018, a US aircraft carrier flew above the Arctic Circle for the first time since the 1990s.

Since then, US navy ships have travelled to the high north several times.

In May, US navy surface ships sailed into the Barents Sea for the first time in over 30 years.

Russia called the US exercise provocative and conducted their own live-fire exercise days later.

General Jeffrey Harrigian, commander of the US Air Forces in Europe, told Business Insider: The Arctic remains a key area for us to continue to best understand how we will operate up there, and key to me for that is how we operate with our partners.

In 2019, US airmen travelled to an island in the Norwegian Sea to test if military transport aircraft could land there.

This US exercise in 2019 alarmed Russia.

Mr Harrigian said it was crystal clear US partners have the best understanding of the Arctic so our reliance on them, and the interaction, as demonstrated by our visit up there to learn from our partners, is really going to be key to our success.

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WW3: Russia ramps up its military force with nuclear powered submarines - Daily Express

Posted in Ww3

WISeKey to Showcase its Cybersecurity Solutions for Artificial Intelligence Used in Drones and Robots at SIDO 2020 – GlobeNewswire

WISeKey to Showcase its Cybersecurity Solutions for Artificial Intelligence Used in Drones and Robots at SIDO 2020

Drones and robotics sensitive applications are growing thus generating valuable data that has become a target for hackers. WISeKey has developed a comprehensive set of digital security solutions to protect Artificial Intelligence when in use to analyze our environment.

Geneva, Switzerland July 27, 2020: WISeKey International Holding Ltd. (WISeKey) (SIX: WIHN, NASDAQ: WKEY), a leading global cybersecurity and IoT company, announced today that it will be demonstrating its disruptive set of technologies to secure new Artificial Intelligence data acquisition devices, including drones and robots, at the 6th edition of the SIDO leading IoT, AI, Robotics and XR event (Lyon, France September 3-4, 2020).

Big Data is at the heart of our future society construction and management. Connected sensors are invading our environment to acquire a huge amount of data that are analyzed by Artificial Intelligence to predict and make decisions. According to Grand View Research, Inc., estimated the global Artificial Intelligence market reached at US$40B in 2019. The same study forecasts this market to explode to US$733.7B in 2027. Drones and robots are becoming central in this Internet of Things (IoT) revolution. They are therefore exposed to new cyberattacks that steal sensitive data or compromise their firmware and behavior.

Through decades of expertise in cybersecurity, WISeKey has designed complete end-to-end protection solutions for these systems, that could for instance be combined with the IBM Watson IoT offering. IBMs Watson IoT Platform is a cognitive system that learns from and infuses intelligence into the physical world. Device manufacturers and businesses can use the power of Watson IoT Platform to build specialized, integrated solutions to solve their business challenges. Watson IoT Platform implements a messaging broker that allows the exchange of information between devices and business applications, using a secure Public Key Infrastructure (PKI) technology to bring authentication and data encryption. This implies a seamless integration with the WISeKey concept of Root of Trust (RoT) that delivers a digital identity that can be leveraged later in the Watson IoT platform together with WISeKeys solutions such as:

After the recent announcement of our partnership with Parrot, the leading European drone group, to integrate our advanced digital security solutions into the Companys growing range of ANAFI drones, this participation in the SIDO 2020 event will be a new opportunity for WISeKey to explain how our certified digital security can help leading IoT device makers protect their customers assets, stressed Carlos Moreira, Founder and CEO of WISeKey. Our Company has become a key player in the cybersecurity arena, uniquely bringing its Swissness to the protection of Artificial Intelligence.

Want to know more? Come and meet with our experts at SIDO 2020 - Booth E213 Lyon, France September 3-4, 2020 (more information on http://www.sido-event.com and http://www.wisekey.com ). Immediately book your meeting slot at sales@wisekey.com.

About WISeKey

WISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping todays Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.

Our technology is Trusted by the OISTE/WISeKeys Swiss based cryptographic Root of Trust (RoT) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visitwww.wisekey.com.

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Disclaimer:This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties and other factors, which could cause the actual results, financial condition, performance or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.

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WISeKey to Showcase its Cybersecurity Solutions for Artificial Intelligence Used in Drones and Robots at SIDO 2020 - GlobeNewswire

GPT-3: The Next Revolution in Artificial Intelligence – Analytics Insight

The internet is buzzing about the new AI interactive tool which is called Generative Pertained Transformer-3 (GPT-3). This is the third generation of the machine learning model and it can do some amazing things.

The third era of OpenAIs Generative Pretrained Transformer, GPT-3, is a broadly useful language algorithm that utilizes machine learning to interpret text, answer questions, and accurately compose text. It analyzes a series of words, text, and other information then focuses on those examples to deliver a unique output as an article or a picture.

GPT-3 processes a gigantic data bank of English sentences and incredibly powerful computer models called neural nets to recognize patterns and decide its standards of how language functions. GPT-3 has 175 billion learning parameters that empower it to perform practically any task it is assigned, making it bigger than the second-most remarkable language model, Microsoft Corps Turing-NLG algorithm, which has 17 billion learning parameters.

A parameter is a computation in a neural system that applies an extraordinary or lesser weighting to some part of the information, to give that aspect greater or lesser importance in the general estimation of the data.

GPT-3s language abilities are amazing. When appropriately processed by a human, it can compose creative fiction; it can produce working code; it can make sensible business memos; and substantially more. Its possible uses are limited only by our minds.

GPT-3 is much more advanced and evolved than its predecessor. In the year 2019, OpenAI published their discoveries and results on their unaided language model, GPT-2, which was trained in 40Gb texts and was fit for recognizing words in the vicinity. GPT-2, a transformer-based language applied to self-consideration, permitted experts to create exceptionally persuasive and coherent writings.

The system, which is a general-purpose language algorithm, utilized AI to remodel the language processing abilities. However, it created quite a controversy as a result of its capability to create very realistic and reasonable fake news articles dependent on something as simple as an initial sentence, making it inaccessible for the public at first.

At its core, GPT-3 is an incredibly sophisticated text indicator. A human gives it a piece of text as information and the model produces its best investment regarding what the next piece of text should be. It would then be able to repeat this procedure, taking the first information along with the recently produced text, regarding that as new input, and creating a subsequent piece, until it arrives at a length limit.

GPT-3 can figure out how to carry out a task with a single brief, better, at times, than different variants of Transformer that have been calibrated, so to speak, to specifically perform just that task. Subsequently, GPT-3 is the victory of an all-encompassing all-inclusive statement. Simply feed it a huge amount of text till its loads are perfect, and it can proceed to perform entirely well on various specific duties with no further interruption.

A question which most people are asking that why GPT-3 is so hyped? The answer is pretty simple. GPT-3 is trained on a dataset of a large portion of close to a trillion words; therefore GPT-3 can identify and distinguish between the linguistic patterns contained in all that data.

However, there are certain downsides to GPT-3. GPT-3 comes up short on the capacity to reason drastically; it lacks the presence of mind. When confronted with ideas, concepts, or if, the system faces challenges to determine the correct action which needs to be undertaken. It is a demerit to ask GPT-3 basic questions that it cant deal with intelligence.

A related drawback comes from the way that GPT-3 produces its output word-by-word, based on the immediately encompassing text. The outcome is that it can struggle to keep up a rational narrative or convey a meaningful message over a few passages. Compared to humans, who have a steady mental mindset, a perspective that dwells from second to second, from day to dayGPT-3 is amnesiac, constantly straying off confusingly after a couple of sentences.

Keeping the problems aside, GPT-3 has been a major leap in transforming AI by reaching the highest level of human-like intelligence through machine learning. There is no arguing that the GPT-3 has the potential to completely revolutionize the language processing abilities of cognitive systems. The world of AI is constantly evolving and is getting closer to human intelligence day by day. In this scenario, the GPT-3 plays a significant role in understanding human intellect and trying to displace it.

This technology is still in its budding stages and there is a lot of scope for improvement. However, it has surely generated a lot of attention in the industry and it has certainly paved the desire for bigger and better neural networks.

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GPT-3: The Next Revolution in Artificial Intelligence - Analytics Insight

Four university experts use Artificial Intelligence to discover that children don’t like going to school on Mondays in Milton Keynes – Milton Keynes…

The researchers at De Montfort University Leicester studied attendance data using AI models.

And they say artificial intelligence is the way forward to improve pupil attendance at all schools.

The experts found Monday morning was the most common time for absenteeism at the school, with potential reasons including separation anxiety, taking extended weekend breaks and a lack of motivation to attend school after time off.

To improve attendance, the researchers developed a two-pronged approach.

Firstly, they increased the frequency and value of rewards given for full attendance, holding monthly raffles with prizes for those children who had not missed a day of school during that month.

Secondly, they introduced a Monday Matters initiative, giving pupils fun activities to look forward to on their first day back after the weekend.

Thanks to these measures, Willen Primary achieved the required national average attendance of 96 per cent for the first time in four years. They also saw a huge improvement in persistent absenteeism, which improved by more than 55 per cent compared with a year ago.

Dr Raymond Moodley, a visiting researcher at De Montfort's Institute of AI, was leading the project along with his colleagues Professor Francisco Chiclana, Dr Fabio Caraffini, and Dr Mario Gongora.

Dr Moodley said: By using AI, we were able to pinpoint the problem areas for attendance at Willen Primary School, which in this case was Monday mornings.

One of the key changes we wanted to make was to increase the incentives on offer for pupils who have a 100 per cent attendance record over a shorter time frame. Schools typically tend to reward children on an all or nothing basis by only recognising pupils who have full attendance for the entire year.

However, our approach sets shorter-term goals for the children which makes it more achievable, and if they fail to achieve full attendance in one month, then they can always try again the following month.

Pupils that are persistently absent are typically shown to have the weakest performance at school. Persistent absenteeism is also higher for those children that receive free school meals.

Carrie Matthews, headteacher at Willen Primary School, said: The novel approach provided by the team at the Institute of AI allowed us to improve our understanding of our attendance and put impactful plans in place to reduce absenteeism. The results of our collaboration have been fantastic!

Dr Moodley and his fellow researchers are now developing an easy-to-use AI-enabled absenteeism diagnostic tool that will eventually be available for schools across the UK to download.

Schools will be able to upload their own attendance data from their attendance recording systems and gain insights into their attendance using the AI models.

Attendance is just one parameter measured by Ofsted when it comes to a schools overall performance, said Dr Moodley.

We also want to look at other factors that impact pupil performance and outcomes in later life. These include motivations for choosing subjects particularly girls in STEM (Science, Technology, Engineering, and Mathematics) as well as behavioural management, and optimising the learning environment (classroom layout, timetable design etc.)

AI is tremendously powerful, and we want to harness this power to maximise the overall performance of every child in every school.

Dr Moodley and his colleagues, who are members of a research interest group called RiSE (Research in Societal Enhancement), are currently engaged in a number of AI-led projects in areas including crime prevention, agricultural sustainability, alternative solutions to managing pandemics, and medicine.

For more information about the Institute of AI at De Montfort University visit here

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Four university experts use Artificial Intelligence to discover that children don't like going to school on Mondays in Milton Keynes - Milton Keynes...

FLY AI: the role of artificial intelligence in aviation – Airport Technology

]]]]]]>]]]]>]]> The FLY AI report sets out key steps towards a stronger adoption of AI. Credit: EUROCONTROL.

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British mathematician and scientist Alan Turing first looked into computing intelligence in 1950. In a paper called Computing Machinery and Intelligence, he suggested using a now-famous Imitation Game to test a machines sentient capabilities, which eventually laid the groundwork for the development and discovery of artificial intelligence (AI).

Decades later, AI and its subsets machine learning and deep learning are set to influence the future of many sectors, including aviation. Over the last few years, AI has found a wide array of applications in the industry from ground handling services to airport security and air traffic management (ATM) and there is now scope for more.

This is the argument of the recently-published FLY AI report, which sets out key steps towards a stronger adoption of AI, machine learning and other digital tools in several areas of aviation. Released by the newly formed European Aviation High Level Group on AI, the paper draws upon expertise from key players in the sector. These include leader EUROCONTROL, the Single European Sky ATM Research (SESAR) Joint Undertaking, the International Air Transport Association, Airbus and Airport Council Internationals European division.

Alongside debunking some myths around AI, the paper identifies the most promising areas for its uptake. It also features a FLY AI Action Plan that outlines future measures to better integrate the technology in ATM and other segments of aviation.

AI has been around for more than 60 years but has gained ground more recently, thanks to advances in computing and access to data, comments SESAR JU executive director Florian Guillermet. Machine learning and deep learning are helping to create applications that can learn autonomously and advise on complex problems. Aviation is no stranger to the virtues of AI.

The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications.

In recent times the technology has gained traction in segments such as intelligent maintenance, engineering and prognostics tools, supply chains and customer services. The sector is now eager to find more applications for AI, with some European countries particularly Ireland, Finland, Cyprus, Luxembourg, Sweden and the Netherlands leading the way.

The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications, adds EUROCONTROL head of infrastructure division Paul Bosman. Recently, significant effort has been put on adapting the current certification framework to the specific characteristics of AI applications. With AI, the industrys focus on cybersecurity has also increased.

Based on this assumption, the report aims to demystify and accelerate the use of AI in aviation and ATM in particular, says Guillermet. This field directly involves SESAR, which has been coordinating all EU research and development activities in ATM since 2007 and actively contributed to the production of the report. We also looked at the future evolution in the use of AI, he continues, in particular with the development of joint human-machine cognitive systems.

On the other hand, EUROCONTROL has acted as leader of the project under the European Aviation High Level Group on AI. The group was formed during EUROCONTROLs inaugural conference on AI that took place in May last year.

Guillermet explains that Europe has a strong basis of expertise and knowledge to further develop AI for ATM. Here, automation can help improve operational efficiency in different segments of aviation.

For instance, he says, machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit to make the best possible decisions.

Within this framework, the FLY AI report identified four areas where AI can help tackle current and future challenges. These are airspace capacity, which is rapidly running out in Europe, the climate change crisis, digital transformation and new levels of complexity in the integration of unmanned aircraft in an already overcrowded airspace.

Machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit.

AIs ability to identify patterns in complex real-world data that human and conventional computer-assisted analyses struggle to identify makes it extremely well-suited to the aviation sector, says Bosman. AI has the potential to transform aspects of the aviation sector, enabling ATM functions to be performed in entirely different ways in the future.

Bosman also believes that automation can play a pivotal role in improving the industrys environmental credentials. By accelerating the digital transformation in terms of optimising trajectories, creating green routes and increasing prediction accuracy, he says, AI could make a real difference to mitigating the environmental impacts of aviation, in addition to providing decision-makers and experts with new features that could transform the ATM paradigm in terms of new techniques and operating procedures.

In addition, better use of data will help increase and improve predictions with more sophisticated tools, while also boosting the scalability, efficiency and resilience of the current ATM system. Lastly, the technology can enhance safety in segments such as cybersecurity, conflict detection, traffic advisory and resolution tools.

A key takeaway from the report is that stronger cooperation is needed to integrate AI in the existing aviation architecture. The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders, in which all conditions are met to progress collectively on this, says Guillermet. No one entity can address it alone.

In response to this need, the reports FLY AI Action Plan looks at the whole value chain from research to implementation and provides stakeholders with a call for action.

According to Bosman, the plan identifies six accelerators that will help achieve this purpose. It is now critical that the community gets together, he adds. A way forward would be to set up a community of practice.

The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders.

The first step will be developing a federated data foundation and AI-infrastructure that will grant access to data and enable the creation of an AI aviation partnership. In addition, the European Aviation High Level Group on AI suggests launching specific aviation/ATM training, reskilling/upskilling programmes, change management, a knowledge-based toolbox, and European AI aviation/ATM master classes to share best practices. Awareness and demystification campaigns should also be included.

Meanwhile, the industry will also have to build an AI aviation/ATM community to attract future experts to the sector. This, Bosman concludes, will help consolidate community expertise.

Both EUROCONTROL and SESAR believe that the ongoing coronavirus crisis could help foster automation in the industry despite the challenges that it is causing. The crisis has shown the limits and significant efforts required when using the current manual approach or analytical tools to try to understand the impact of the crisis, predict and help business recovery, says Bosman.

The crisis has shown the limits and significant efforts required when using the current manual approach.

Specifically, AIs reliance on historical data sets on which to train neural networks means that in the event of a second wave of the pandemic, using these data sets will help improve crisis response. As a precaution in the face of such a risk, it makes sense to gather and store all possible data related to the virus and its impact. This is so that they can be used to develop new AI applications that could support the aviation industry in dealing with any future waves of Covid-19 or other pandemics.

In addition, Guillermet says that the pandemic is shining light on the importance of new technologies to help businesses through a crisis. Mastering these technologies and accelerating our plans for a digital Europe sky will deliver an aviation operating environment, which is more resilient, scalable and economically and environmentally sustainable in the long run, he says.

Because aviation is one of the industrial sectors most impacted by the coronavirus pandemic, it should further accelerate the adoption of AI, Bosman concludes. AI can really help transform the industry, provide better decision-making tools, and improve industrial and operational efficiency.

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FLY AI: the role of artificial intelligence in aviation - Airport Technology

UF Announces $70 Million Artificial Intelligence Partnership with NVIDIA – University of Florida

Congratulations to the University of Florida andNVIDIAfor their announcement today of a transformational partnership to create higher educations most powerful AI supercomputer and develop a workforce training program that will jumpstart the next generation of discovery and innovation. This initiative will empower students and arm them with new tools to succeed in the 21stcentury economy. The University of Florida is a top-tier public research university, and I commendNVIDIAfor using this opportunity to form this public-private partnership that will exponentially leverage the prior and current investments by the state and federal government in our research at institutions of higher education.

The University of Florida today announced a public-private partnership with NVIDIA that will catapult UFs research strength to address some of the worlds most formidable challenges, create unprecedented access to AI training and tools for underrepresented communities, and build momentum for transforming the future of the workforce.

The initiative is anchored by a $50 million gift -- $25 million from UF alumnus Chris Malachowsky and $25 million in hardware, software, training and services from NVIDIA, the Silicon Valley-based technology company he cofounded and a world leader in AI and accelerated computing.

Along with an additional $20 million investment from UF, the initiative will create an AI-centric data center that houses the worlds fastest AI supercomputer in higher education. Working closely with NVIDIA, UF will boost the capabilities of its existing supercomputer, HiPerGator, with the recently announced NVIDIA DGX SuperPOD architecture. This will give faculty and students within and beyond UF the tools to apply AI across a multitude of areas to improve lives, bolster industry, and create economic growth across the state.

This incredible gift from Chris and NVIDIA will propel the state of Florida to new heights as it strives to be an economic powerhouse, an unrivaled leader in job creation and an international model of 21st-century know-how, Florida Gov. Ron DeSantis said. Over the coming years, tens of thousands of University of Florida graduates with this unique AI-oriented background will create their futures and ours, transforming our workforce and virtually every field and every industry here in Florida and around the world.

With AI holding the potential to revolutionize education and research and indeed every sector of society the University of Florida will work to ensure diversity, equity, and inclusion are at the center of this transformational change. Were thrilledUF is demonstrating such national leadership and placing community engagement and training a 21st Century workforce at the heart of its mission.

"DOE's Artificial Intelligence & Technology Office is ready to partner to accelerate the development of UFs AI curricula and eager to seek UF and NVIDIA expertise on how to advance our own workforce training.

The University of Florida has been at the forefront of these efforts. Its partnership with NVIDIA to develop the HiPerGator3 supercomputer, the most powerful AI machine in US higher education,is a strong symbol of UFs commitment to AI and the growing role it needs to play in how we learn.

The goals UF has set to infuse the entire curriculum with AI training and educational opportunities is an example all universities should aspire to follow. It demonstrates that the University of Florida and NVIDIA understand the depth and the breadth of AIs impact as the demand for AI-literate workers will extend well beyond the tech sector.

As the Co-Chairs of the House AI Caucus, we applaud this new, comprehensive AI program. The initiative includeskey componentsof AI development: computing power, data, talent, and partnerships. We are also pleased to see the focus on equitable access to AI. Executing on this program will mean students at schools across the state and nation including K-12, state and local schools, HBCUs, and HSIs wont be left behind in the AI-driven future. The U.S. must continue to invest in AI, and efforts such as this can help light the way.

UFs National AI Leadership

The partnership will be central to UFs vision to be a national leader in the application of AI, including an expansive plan to elevate its reach and impact in research, teaching, and economic development. It provides a replicable framework for future public-private cooperation, and a model for addressing societys grand challenges through interdisciplinary collaboration. By deploying AI across the curriculum, this powerful resource will address major challenges such as rising seas, aging populations, data security, personalized medicine, urban transportation and food insecurity.

UFs leadership has a bold vision for making artificial intelligence accessible across its campus, said Malachowsky, who serves as an NVIDIA Fellow. What really got NVIDIA and me excited was partnering with UF to go broader still, and make AI available to K-12 students, state and community colleges, and businesses. This will help address underrepresented communities and sectors across the region where the technology will have a profound positive effect.

Extensive Collaboration with NVIDIA

NVIDIAs technology powers two-thirds of the worlds 500 fastest supercomputers, including eight of the top 10. The third-generation HiPerGator will have access to NVIDIAs most advanced AI software and integrate 140 NVIDIA DGX A100 systems with 1,120 NVIDIA A100 Tensor Core GPUs and high-performance NVIDIA Mellanox HDR 200Gb/s InfiniBand networking to deliver 700 petaflops of AI performance.

Artificial intelligence is the most powerful technology force of our time, said Jensen Huang, founder and CEO of NVIDIA. Fueled by data and machine learning, AI is advancing at an exponential pace, impacting every industry from healthcare to transportation to the sciences. Through their generosity and vision, Chris and UF are providing a mighty foundation for students and faculty to harness this technology and drive discovery.

UF is the first institution of higher learning in the U.S. to receive DGX A100 systems, which are designed to accelerate diverse workloads, including AI training, inference, and data analytics.

NVIDIA will also contribute its AI expertise to UF through ongoing support and collaboration across the following initiatives:

As the grand challenges that the scientific and engineering communities face become more complex, the need for artificial intelligence and machine learning to both advance scientific knowledge and manage an increasingly complex technological environment becomes more important. The University of Floridas new supercomputing facility is an important addition to the AI ecosystem and will provide academic researchers with much needed access to computing power that can advance artificial intelligence far into the future.

Unlike traditional high-performance computing systems, this academic supercomputer is specialized to leverage AI simulation and inference, which are important tools in accelerating research areas including drug discovery, astrophysics, and natural hazards modeling. By partnering with NVIDIA, the University of Florida is able to leverage this state-of-the-art technology and use it to enhance the education and training of the next generation of researchers, technicians, and leaders.

This partnership can and should serve as a model of how universities, industry, and government can combine their respective strengths for the benefit of all. This will be vitally important in strengthening the U.S. supercomputing ecosystem, and by extension, U.S. economic competitiveness"

Computing power is at the heart of Artificial Intelligence, and this investment in the fastest AI supercomputer in academia will ensure that the U.S. stays on the cutting edge of research and development. This system, combined with investments in curriculum and critical national, state, and local partnerships, is a model for building an AI economy for all Americans. As the Chair of the Congressional Semiconductor Caucus, Im glad that American semiconductor companies like NVIDIA are leading the charge.

With Director Panchanathan now at the helm of the National Science Foundation, I look forward to seeing his vision for bringing AI supercomputing to other research centers such as the TACC in Austin, Texas.

Integrated AI Curriculum, Intelligent-Decision Support, Equitable Access

As a comprehensive institution, UF has a goal of bringing together students and faculty from across campusand across the state. It will be among the nations first to integrate AI across all disciplines and make it a ubiquitous part of its academic enterprise. It will offer certificates and degree programs in AI and data science, with curriculum modules for specific technical and industry-focused domains. The initiative includes a commitment from UF to hire 100 more faculty members focused on AI. They will join 500 new faculty recently added across disciplines -- many of whom will weave AI into their teaching and research.

More than ever before in my lifetime, people around the country and the globe are looking to universities to expand access to higher education and technology and to level the field of opportunity for all, UF President Kent Fuchs said. UF intends to meet that challenge, and this partnership will help us do it.

Within UF Health, UFs robust academic health center, AI systems are being deployed to monitor patient conditions in real time, making it the first health system to use deep-learning technology to generate patient viability data. Through a novel system known as DeepSOFA, Dr. Azra Bihorac and her team use AI systems to collect and organize a patients medical data so that doctors can make better-informed decisions. DeepSOFA is but one example of how AI technology will be put to use to bolster research and improve patient care at UF Health.

To ensure no community is left behind, UF plans to promote wide accessibility to these computing capabilities and work with other institutions to develop a talent pipeline able to harness the power of AI through several initiatives. These include:

This initiative will allow us to recruit and equip a diverse, talented cadre of faculty and students across multiple disciplines and bring them together with colleagues from government and the private sector to find solutions to our most important problems, said Dr. Cammy Abernathy, dean of UFs Herbert Wertheim College of Engineering.

University officials expect todays announcement will spark additional excitement among others who have significant resources and abilities related to AI, and reaffirmed their commitment to serve as a catalyst for those who wish to step up and join in this amazing adventure.

Steve Orlando July 21, 2020

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UF Announces $70 Million Artificial Intelligence Partnership with NVIDIA - University of Florida

Artificial Intelligence Is the Hope 2020 Needs – Bloomberg

Tyler Cowen is a Bloomberg Opinion columnist. He is a professor of economics at George Mason University and writes for the blog Marginal Revolution. His books include The Complacent Class: The Self-Defeating Quest for the American Dream.

Your AI bartender will serve you now.

Photographer: Leon Neal/Getty Images Europe

Photographer: Leon Neal/Getty Images Europe

This year is likely to be remembered for the Covid-19 pandemic and for a significant presidential election, but there is a new contender for the most spectacularly newsworthy happening of 2020: the unveiling of GPT-3. As a very rough description, think of GPT-3 as giving computers a facility with words that they have had with numbers for a long time, and with images since about 2012.

The core of GPT-3, which is a creation of OpenAI, an artificial intelligence company based in San Francisco, is a general language model designed to perform autofill. It is trained on uncategorized internet writings, and basically guesses what text ought to come next from any starting point. That may sound unglamorous, but a language model built for guessing with 175 billion parameters 10 times more than previous competitors is surprisingly powerful.

The eventual uses of GPT-3 are hard to predict, but it is easy to see the potential. GPT-3 can converse at a conceptual level, translate language, answer email, perform (some) programming tasks, help with medical diagnoses and, perhaps someday, serve as a therapist. It can write poetry, dialogue and stories with a surprising degree of sophistication, and it is generally good at common sense a typical failing for many automated response systems. You can even ask it questions about God.

Imagine a Siri-like voice-activated assistant that actually did your intended bidding. It also has the potential to outperform Google for many search queries, which could give rise to a highly profitable company.

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GPT-3 does not try to pass the Turing test by being indistinguishable from a human in its responses. Rather, it is built for generality and depth, even though that means it will serve up bad answers to many queries, at least in its current state. As a general philosophical principle, it accepts that being weird sometimes is a necessary part of being smart. In any case, like so many other technologies, GPT-3 has the potential to rapidly improve.

It is not difficult to imagine a wide variety of GPT-3 spinoffs, or companies built around auxiliary services, or industry task forces to improve the less accurate aspects of GPT-3. Unlike some innovations, it could conceivably generate an entire ecosystem.

There is a notable buzz about GPT-3 in the tech community. One user in the U.K. tweeted: I just got access to gpt-3 and I can't stop smiling, i am so excited. Venture capitalist Paul Graham noted coyly: Hackers are fascinated by GPT-3. To everyone else it seems a toy. Pattern seem familiar to anyone? Venture capitalist and AI expert Daniel Gross referred to GPT-3 as a landmark moment in the field of AI.

I am not a tech person, so there is plenty about GPT-3 I do not understand. Still, reading even a bit about it fills me with thoughts of the many possible uses.

It is noteworthy that GPT-3 came from OpenAI rather than from one of the more dominant tech companies, such as Alphabet/Google, Facebook or Amazon. It is sometimes suggested that the very largest companies have too much market power but in this case, a relatively young and less capitalized upstart is leading the way. (OpenAI was founded only in late 2015 and is run by Sam Altman).

GPT-3 is also a sign of the underlying health and dynamism of the Bay Area tech world, and thus of the U.S. economy. The innovation came to the U.S. before China and reflects the power of decentralized institutions.

Like all innovations, GPT-3 involves some dangers. For instance, if prompted by descriptive ethnic or racial words, it can come up with unappetizing responses. One can also imagine that a more advanced version of GPT-3 would be a powerful surveillance engine for written text and transcribed conversations. Furthermore, it is not an obvious plus if you can train your software to impersonate you over email. Imagine a world where you never know who you are really talking to Is this a verified email conversation? Still, the hope is that protective mechanisms can at least limit some of these problems.

We have not quite entered the era where Skynet goes live, to cite the famous movie phrase about an AI taking over (and destroying) the world. But artificial intelligence does seem to have taken a major leap forward. In an otherwise grim year, this is a welcome and hopeful development. Oh, and if you would like to read more, here is an article about GPT-3 written by GPT-3.

This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.

To contact the author of this story:Tyler Cowen at tcowen2@bloomberg.net

To contact the editor responsible for this story:Michael Newman at mnewman43@bloomberg.net

Before it's here, it's on the Bloomberg Terminal.

Tyler Cowen is a Bloomberg Opinion columnist. He is a professor of economics at George Mason University and writes for the blog Marginal Revolution. His books include The Complacent Class: The Self-Defeating Quest for the American Dream.

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Artificial Intelligence Is the Hope 2020 Needs - Bloomberg

People are using artificial intelligence to help sort out their divorce. Would you? – The Conversation AU

An online app called Amica is now using artificial intelligence to help separating couples make parenting arrangements and divide their assets.

For many people, the coronavirus pandemic has put even the strongest of relationships to the test. A May survey conducted by Relationships Australia found 42% of 739 respondents experienced a negative change in their relationship with their partner under lockdown restrictions.

There has also been a surge in the number of couples seeking separation advice. The Australian government has backed the use of Amica for those in such circumstances. The chatbot uses artificial intelligence (AI) to make suggestions for how splitting couples can divide their money and property based on their circumstances.

But although such tools offer advantages such as convenience and reduced emotional distress, their applications remain limited. And over-relying on them could be a slippery slope.

Read more: Coronavirus: how the pandemic has exposed AIs limitations

According to Amicas website, it considers legal principles and applies them to your circumstances. In other words, the software draws on mass data (collected and embedded by its designers) from similar past cases to make suggestions to users.

Amica demonstrates AIs potential in solving legal problems in family disputes. Interestingly, its not the only tool of this kind in the legal field. There are a range of AI-powered family legal services used in Australia, including Penda and Adieu.

Penda aims to help victims of family violence by providing free legal and safety information. Its AI chatbot provides online legal advice and information without requiring a face-to-face meeting with a lawyer.

Adieu enables couples to achieve amicable financial and parenting agreements via its AI chatbot component Lumi, which can refer couples to mediators, counsellors, lawyers or financial advisers if required. Lumi also has a one-click disclosure tool designed to save time and money by using AI to analyse the financial records of both users.

Australias family law system is overburdened, resulting in long delays for families in the court system. Court proceedings are also expensive, and complex family law cases can cost each party more than A$200,000.

AI tools such as Amica and Adieu enable couples to resolve problems themselves and avoid the slow and expensive court process. This is especially true for couples who have commenced or are considering the separation process now, amid coronavirus restrictions.

Our evaluation of Adieu involved reviewing literature on justice apps and interviewing professionals including mediators, lawyers and financial advisers. We also surveyed 37 Adieu users to find out who would use such an app and how comfortable people were with them.

We found by giving couples dominion over the separation process, they were less likely to be emotionally stressed. Although our survey sample was relatively small, 76% of participants reported not feeling emotional distress. Of those who did, most said this was the result of existing circumstances.

One participant said:

Im pretty new to apps but am learning. Theyre not so bad, but dont really replace people. On the plus side, theyre neutral and dont judge you!

Despite a number of advantages, AI tools for settling legal disputes (much like many other AI tools) come with setbacks.

For instance, theyre not helpful in many cases. Amicas designers highlight the platform is only suitable for amicable separating couples with no complex situations involved, such as family violence. This is because at its current development level, AI-powered chatbots can only generate a relatively simple response from the information theyre given.

According to a 2016 survey by the Australian Bureau of Statistics, around 5.8 million Australians had experienced physical or emotional abuse from a partner.

Read more: Does your AI discriminate?

Further, Australian courts are required to consider each childs best interests when deciding on a family case. There are legitimate concerns that parenting and financial suggestions from AI-powered tools may ignore the needs of children, and only reflect the interests of parents.

There are also concerns around the use of AI in legal family cases more generally. For example, access to online platforms requires a certain amount of digital literacy and accessibility.

This disadvantages people without access to the internet, a smartphone or computer. Also, people may not have the technological skills needed to use apps such as Amica or Adieu.

Apart from family disputes, AI has also been controversially used in criminal cases for sentencing purpose. The COMPAS tool has come under fire on numerous occasions for its use in the US. Its risk assessment algorithms supposedly predict how likely a criminal is to reoffend.

Australias robodebt saga also showed how AI can contribute to problematic administrative decision making. In that debacle, welfare payments made on the basis of self-reported fortnightly income were cross-referenced against an estimated income, taken as an average of annual earnings reported to the Australian Tax Office. This was then used to auto-generate debt notices without human checks.

Read more: From robodebt to racism: what can go wrong when governments let algorithms make the decisions

Its clear AI comes with the potential for embedded bias. As the use of AI-powered technology continues for matters traditionally handled in the courts, a government strategy such as the European Commissions AI White Paper is needed to address the general challenges.

Along with this, an ethical framework with input from Australias legal industry should underpin AI use in the legal sector.

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People are using artificial intelligence to help sort out their divorce. Would you? - The Conversation AU

The Global Artificial Intelligence in Accounting Market is expected to grow from USD 884.99 Million in 2019 to USD 4,779.11 Million by the end of 2025…

New York, July 23, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in Accounting Market Research Report by Component, by Technology, by Deployment, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913257/?utm_source=GNW

On the basis of Component, the Artificial Intelligence in Accounting Market is studied across Services and Solutions. The Services further studied across Managed Services and Professional Services. The Solutions further studied across Platforms and Software Tools.

On the basis of Technology, the Artificial Intelligence in Accounting Market is studied across Machine Learning and Deep Learning and Natural Language Processing.

On the basis of Deployment, the Artificial Intelligence in Accounting Market is studied across Cloud and On-Premises.

On the basis of Application, the Artificial Intelligence in Accounting Market is studied across Automated Bookkeeping, Fraud and Risk Management, Invoice Classification and Approvals, and Reporting.

On the basis of Geography, the Artificial Intelligence in Accounting Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Accounting Market including AppZen Inc, AWS Inc, Deloitte Touche Tohmatsu Limited, IBM Corporation, Kore.ai, Inc., KPMG International Cooperative, Microsoft Corporation, OneUp, OSP Labs, Sage Group, SMACC, UiPath, Vic.ai, Inc, Xero Limited, and YayPay Inc.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Accounting Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence in Accounting Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Accounting Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Accounting Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Accounting Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Accounting Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence in Accounting Market?Read the full report: https://www.reportlinker.com/p05913257/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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The Global Artificial Intelligence in Accounting Market is expected to grow from USD 884.99 Million in 2019 to USD 4,779.11 Million by the end of 2025...

I Am a Model and I Know That Artificial Intelligence Will Eventually Take My Job – Vogue.com

Shudu Gram is a striking South African model. Shes what fashion likes to call one to watch, with a Balmain campaign in 2018, a feature in Vogue Australia on changing the face of fashion, and a red carpet appearance at the 2019 BAFTAs in a custom Swarovski gown.

Im also a model. Im from Canada, although I live in New York City now. Unlike Shudu, whos considered a new face, Ive been in the business for almost five years. I am also a futurist; I spend a lot of time researching emerging technologies and educating young people about the future of work through my startup WAYE. Also unlike Shudu, Im a real model, and by that I mean Im a real person. Shudus not. Shes a 3D digital construction.

Digital models and influencers are successfully breaking into the fashion industry from every angle. Some have even been signed to traditional modeling agencies. Take Miquela Sousa, a 19-year-old Brazilian American model, influencer, and now musician, who has amassed a loyal following of more than 2 million people on Instagram. Shes collaborated with Prada and Givenchy, has been featured in a Calvin Klein video with Bella Hadid, and she just released a song with singer-songwriter Teyana Taylor this past spring.

Impressive stuff, but theres one thing thats keeping real-life me at ease: Miquela, like Shudu, is a computer-generated image (CGI), not artificial intelligence (A.I.). That means that Miquela and Shudu cant actually do anything on their own. They cant think or learn or offer posing variations independently. But that wont be the case for much longer.

DataGrid is a Japanese tech outfit whose A.I. algorithms directly threaten my job. The company uses generative adversarial networks (GANs), which is a type of machine learning, a subset of A.I. Ill spare you the specifics of the algorithmic details, but in summary, these digital models can offer a vast array of posing options that mimic exactly what we do in e-commerce and commercial modeling. For models like myself, thats how we make most of our money. The German e-commerce giant, Zalando (for which I have modeled almost a dozen times), has published research papers on this technology. It would seem to be only a matter of time until fashion giants jump on board.

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I Am a Model and I Know That Artificial Intelligence Will Eventually Take My Job - Vogue.com

Artificial Intelligence in Manufacturing Market Worth $16.7 Billion by 2026 – Exclusive Report by MarketsandMarkets – PRNewswire

CHICAGO, July 21, 2020 /PRNewswire/ -- According to the new market research report "Artificial Intelligence in Manufacturing Marketby Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the Artificial Intelligence in Manufacturing Marketis expected to be valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments.

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The hardware segment in the AI in manufacturing market projected to grow at highest CAGR during forecast period

The hardware segment is projected to grow at the highest CAGR from 2020 to 2026. Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment.

Quality control application of AI in manufacturing market to grow at highest CAGR during forecast period

The quality control application is expected to register the highest CAGR during the forecast period. Governments impose regulations on maintaining the quality according to certain benchmarks; for instance, the USD Food and Drug Administration (FDA) imposes stringent guidelines to regulate the quality of pharmaceutical products in accordance with the Current Good Manufacturing Practices (CGMPs). The growing use of robotics and deep learning technology in the manufacturing industry is expected to drive the growth of the AI in manufacturing market for the quality control application

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AI in manufacturing market in APAC projected to grow at highest CAGR from 2020 to 2026

The AI in manufacturing market in APAC is expected to grow at the highest CAGR during 20202026. The presence of a large number of industries, especially in countries such as China, India, and Taiwan is resulting in the adoption of AI in the manufacturing sector in APAC. The increasing adoption of AI-based robots is also fueling the market's growth in this region.

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc., (US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), and SAP SE (Germany) are the prominent players of AI in manufacturing market.

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Artificial Intelligence in Supply Chain Marketby Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025

Artificial Intelligence Marketby Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025

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Top Five Data Privacy Issues that Artificial Intelligence and Machine Learning Startups Need to Know – insideBIGDATA

In this special guest feature, Joseph E. Mutschelknaus, a director in Sterne Kesslers Electronics Practice Group, addresses some of the top data privacy compliance issues that startups dealing with AI and ML applications face. Joseph prosecutes post-issuance proceedings and patent applications before the United States Patent & Trademark Office. He also assists with district court litigation and licensing issues. Based in Washington, D.C. and renown for more than four decades for dedication to the protection, transfer, and enforcement of intellectual property rights, Sterne, Kessler, Goldstein & Fox is one of the most highly regarded intellectual property specialty law firms in the world.

Last year, the Federal Trade Commission (FTC) hit both Facebook and Google with record fines relating to their handling of personal data. The California Consumer Privacy Act (CCPA), which is widely viewed the toughest privacy law in the U.S., came online this year. Nearly every U.S. state has its own data breach notification law. And the limits of the EUs General Data Protection Regulation (GDPR), which impacts companies around the world, are being tested in European courts.

For artificial intelligence (AI) startups, data is king. Data is needed to train machine learning algorithms, and in many cases is the key differentiator from competitors. Yet, personal data, that is, data relating to an individual, is also subject an increasing array of regulations.

As last years $5 billion fine on Facebook demonstrates, the penalties for noncompliance with privacy laws can be severe. In this article, I review the top five privacy compliance issues that every AI or machine learning startup needs to be aware of and have a plan to address.

1. Consider how and when data can be anonymized

Privacy laws are concerned with regulating personally identifiable information. If an individuals data can be anonymized, most of the privacy issues evaporate. That said, often the usefulness of data is premised on being able to identify the individual that it is associated with, or at least being able to correlate different data sets that are about the same individual.

Computer scientists may recognize a technique called a one-way hash as a way to anonymize data used to train machine learning algorithms. Hash operations work by converting data into a number in a manner such that the original data cannot be derived from the number alone. For example, if a data record has the name John Smith associated with it, a hash operation may to convert the name John Smith into a numerical form which is mathematically difficult or impossible to derive the individuals name. This anonymization technique is widely used, but is not foolproof. The European data protection authorities have released detailed guidance on how hashes can and cannot be used to anonymize data.

Another factor to consider is that many of these privacy regulations, including the GDPR, cover not just data where an individual is identified, but also data where an individual is identifiable. There is an inherent conflict here. Data scientists want a data set that is as rich as possible. Yet, the richer the data set is, the more likely an individual can be identified from it.

For example, The New York Times wrote an investigative piece on location data. Although the data was anonymized, the Times was able to identify the data record describing the movements of New York City Mayor Bill de Blasio, by simply cross-referencing the data with his known whereabouts at Gracie Mansion. This example illustrates the inherent limits to anonymization in dealing with privacy compliance.

2. What is needed in a compliant privacy policy

Realizing that anonymization may not be possible in the context of your business, the next step has to be in obtaining the consent of the data subjects. This can be tricky, particularly in cases where the underlying data is surreptitiously gathered.

Many companies rely on privacy policies as a way of getting data subjects consent to collect and process personal information. For this to be effective, the privacy policy must explicitly and particularly state how the data is to be used. Generally stating that the data may be used to train algorithms is usually insufficient. If your data scientists find a new use for the data youve collected, you must return to the data subjects and get them to agree to an updated privacy policy. The FTC regards a companys noncompliance with its own privacy policy as an unreasonable trade practice subject to investigation and possible penalty. This sort of noncompliance was the basis for the $5 billion fine assessed against Facebook last year.

3. How to provide a right to be forgotten

To comply with many of these regulations, including the GDPR and CCPA, you must provide not only a way for a data subject to refuse consent, but also a way to for a data subject to withdraw consent already given. This is sometimes called a right to erase or a right to be forgotten. In some cases, a company must provide a way for subjects to restrict uses of data, offering data subjects a menu of ways the company can and cannot use collected data.

In the context of machine learning, this can be very tricky. Some algorithms, once trained, are difficult to untrain. The ability to remove personal information has to be baked into the system design at the outset.

4. What processes and safeguards need to be in place to properly handle personal data

Privacy compliance attorneys need to be directly involved in the product design effort. In even big sophisticated companies, compliance issues usually arise when those responsible for privacy compliance arent aware of or dont understand the underlying technology.

The GDPR requires certain companies to designate data protection officers that are responsible for compliance. There also record-keeping and auditing obligations in many of these regulations.

5. How to ensure that data security practices are legally adequate

Having collected personal data, you are under an obligation to keep it secure. The FTC regularly brings enforcement actions against companies with unreasonably bad security practices and has detailed guidelines on what practices it considers appropriate.

In the event of a data breach does occur, you should immediately contact a lawyer. Every U.S. state has its own laws governing data breach notification and imposes different requirements in terms of notification and possibly remuneration.

Collecting personal data is essential part of many machine learning startups. Lack of a well-constructed compliance program can be an Achilles heel to any business plan. It is a recipe for an expensive lawsuit or government investigation that could be fatal to a young startup business. So, a comprehensive compliance program has to be an essential part of any AI/ML startups business plan.

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Top Five Data Privacy Issues that Artificial Intelligence and Machine Learning Startups Need to Know - insideBIGDATA

There’s no plaice like home: Why we should be eating British fish – The Conservative Woman

ITS time to reset the UK consumers relationship with the UK fishing industry.

Fishing rights are regularly in the news as the UK/EU trade negotiations rumble on. And while fishing is a relatively small economic issue, its certainly a big political one. Any research on the topic will quickly reveal huge industry complexities, a host of different organisations, sustainability issues and historical policies and licences all permed with hot multi-national politics.

Little discussed however is the relationship between UK fishing and the UK consumer, and at the heart of this story is a tale of separation, abandonment and decline.

Lets start with the decline. In 1895 the seas were open, fishing villages flourished all around our isles, and what was landed by local boats was what you ate. Peak UK fishing.

In Skye, the staple diet was salmon. If you were indentured to work on a farm, part of the deal was you could be fed salmon no more than four times a week. In London you ate a lot of eels, and somewhat reluctantly, pike.

Since 1895, its all been downhill. The total number of fishermen employed in the UK has fallen from just under 50,000 in 1938 to less than 12,000 today. The number of fishing vessels in the UK fleet has fallen by 30 per cent since 1996 to some 7,000 vessels.

So what is behind this decline? One key culprit is demand. The top two fish we land are mackerel and herring the perfect oily fish for a healthy diet, but very much out of fashion in the UK.

Also, despite cooking being an increasingly popular pastime, many people simply dont know their fish, or how to cook it. We export fabulous crab, scallops and langoustines to the Mediterranean and then fly out there to enjoy them at a restaurant.

But the biggest factor behind the decline is the separation of UK consumers from their own produce. The Marine Conservation Society explains that we currently export around 75 per cent of fish caught and landed in the UK, but were the ninth largest importer of fish in the world, with around 70 per cent of the seafood value entering the UK fish supply chain coming from overseas.

This two-way motorway of fish is absurd: economically wrong and also an ecological disaster. We are net importers of fish, while the fishmonger with fresh fish down the road is in decline.

We generally export in bulk, and buy consumer packaged, losing out on the processing jobs. We import from places as far away as China, India and Vietnam, at a horrendous cost in product miles: marine diesel, bulk packaging, and waste incurred during transport.

So, some pundits might say that the politicians have a history of abandoning UK fishing. But the facts show us that, as a whole, the UK population are often less supportive of our fishing industry than they realise.

Its therefore quite easy to be pessimistic about the future of the UK fishing industry. However, that would be wrong. Compared to the EU countries, the UK fleet has the second-largest total catch (in terms of landed weight) and the second-largest fleet size (in gross tonnage terms).

More than 80 per cent by value of the UK fleets landings are from UK waters. A further factor is that, despite the fall in the number of fishermen, this has been counterbalanced to some extent by increased productivity with modern equipment and trawlers.

But imagine how much better the outlook would be if we reconnected with UK fishing. As individual consumers we all have the power to help change this. Eating locally-caught fish would reduce our product miles and provide crucial support for the UKs fishing industry and its local communities.

Alan McCulla, CEO of the Anglo-North Irish Fish Producers Organisation, spells out the opportunity: We need people to care where their fish comes from, and for us the direct-to-consumer market is growing in importance, particularly as people are worried about sustainability.

The five most popular fish in the UK are also the UKs top five fish imports: salmon, cod, tuna, prawns, and haddock. But there are other excellent fish which are sustainable UK-caught alternatives: such as megrim (from Rockall, the northern North Sea, and West of Scotland), turbot (North Sea), coley (North Sea and Rockall) and lemon sole (the English Channel).

There are three ways to support UK fishing: visit your local fishmonger, ask at the supermarket fresh fish counter, or get your fish fresh direct from harbourside businesses and collectives. All UK-landed fish can be found atyouk.co, which offers a unique approach to finding sustainable UK-landed fish.

Go on, give UK-landed mackerel, herring, coley and shellfish a go!

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There's no plaice like home: Why we should be eating British fish - The Conservative Woman