Artificial Intelligence (AI)is more than just a buzzword, it is a change. If the 21st century is supposed to be remembered for something, then it is absolutely artificial intelligence and the changes it has brought. Ever sincethe idea of machines came to existenceand the word artificial intelligence was coined in a summer conference at Dartmouth University,AI has made a significant impacton peoples lives. Today, machines understand verbal commands, distinguish pictures, drive cars, play games and much more in a better way than how humans do. Will you believe it if I say the AI applications we see today are merely a tip of the AI iceberg? Yes, there is absolutely a whole mountain of applications that could be discovered in future. Unfortunately, there are threats too. People are engraved with the fear that AI might soon capture the world and wipe off humankind like how it isportrayed in dystopian movies. We cant totally deny it, but the development of AI depends on how human train it. So a large part of the responsibility is in our hands to feed AI with considerable datasets. Mainly AI can be divided into four types,

Reactive machines

Limited memory

Theory of mind

Self-aware

AI can also be classified based ontechnology into three types,

Artificial Narrow Intelligence (ANI)

Artificial General Intelligence (AGI)

Artificial Super Intelligence (ASI)

Reactive machines are the most basic types of AI systems that perceive the world directly and act on what it sees. The computer is purely reactive, and neither has to form memory nor to use past experience. AI researcher Rodney Brooks argued in a seminal paper that we should only build this kind of AI. For example, Deep Blue, IBMs chess-playing supercomputer that made a breakthrough by beating grandmaster Garry Kasparov in 1997 was a reactive machine. It did not take any pre-applied datasets or look for previous matches. All it knows was how to play the game and conditions. The computer moved chess coins based on its real-time intuition and won the game.

Limited memory machines are ditto of reactive machines added with historical data which will help them take decisions. Almost all the machines that we use today are limited memory machines, which are powered by datasets. AI systems use deep learning and are trained by large volumes of data that they store in their memory to form a reference model for solving future problems. For example, an image recognition AI is trained to determine and label certain things like a cat or a dog from a picture. It knows how a cat or a dog looks from the previously trained datasets. Henceforth, it opts out the matching images.

As the name sounds, the theory of mind machines represents an advanced class of technology and exists only as a concept. This kind of AI requires a thorough understanding of peoples and things feelings and behaviour within an environment. Theory of minds is a critical technological improvement that sorts peoples emotions, sentiments and thoughts. Even though many improvements are made to reach this stage of AI, it is not fully completed. A real-world example of the theory of mind is Kismet, designed in the late 1990s. Kismet can mimic human emotions and recognise them.

Self-aware AI is the exact thing that is portrayed in AI-movies. The critical AI robots that think on their own and destroy humans are the ideology-driven from self-aware AI. However, we cant predict that all might go bad. There are also chances that the futuristic AI might go hand-in-hand with humans. Even though it is impossible for now, self-aware AI is on the bucket list for many scientists. Tech personalities like Elon Musk and Stephen Hawkings have consistently warned us about the evolution of AI which could reach the self-aware stage.

Artificial Narrow Intelligence, also known as week AI is one of the most frequently experienced types of AI. It is something that the tech world has accomplished. Every AI machine we use and see today is from this field, which operates under a limited set of constraints. For example, voice recognition AI is used to predict peoples voice based on the dataset it is trained with. The deep learning model constitutes the Limited Memory type and similar tasks could be a case of Reactive Machines.

Artificial General Intelligence, also known as strong AI allows a machine to apply knowledge and skills in different contexts. This more closely mirrors human intelligence by providing opportunities for autonomous learning and problem-solving. In other words, AGI can successfully perform any intellectual task that a human being can. This is thesort of AI that sci-fi movies portray.

Artificial Super Intelligenceis something more advanced than strong AI which could end the human race. They will not only replicate the multi-faceted intelligence of human beings but will be exceedingly better at everything. The ASI will be designed with better memory, faster data processing and analysis, and decision-making capabilities.

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7 Types of Artificial Intelligence: Propelling the Technology Development - Analytics Insight

My last column for 2019 was titled Artificial intelligence will be more than just talk in 2020. As I bid goodbye to 2020, allow me to close the year with the prediction that we would see AI go mainstream in 2021. In his December 21 Forbes website article, titled Why Covid Will Make AI Go Mainstream In 2021, data scientist Ganes Kesari predicts AI will transform 2021 by accelerating pharmaceutical drug discovery beyond Covid-19. He says the face of telecommuting would change, and that AI would transform edge computing and make devices around us truly intelligent.

A recent article on the Wiley Online Library website, titled How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future by Yashpal Singh Malik, et al., presents an overview of the prospective applications of the AI model systems in healthcare settings during the Covid-19 pandemic. In it, the authors highlighted the uses of AI-based approaches in healthcare during the pandemic where AI-based technologies and methods were deployed in modelling the virus spread and optimal utilization of resources. The protein folding problem, a grand challenge of biology that had puzzled scientists for 50 years, was solved through AlphaFold, an AI program developed by Googles DeepMind. Its a big deal for scientists developing a new drug because it helps them predict the proteins shape that will help come up with a molecule that could bind to it, fitting into it to alter its behavior. AI also helped fast-track the coronavirus vaccine, cutting development to 10 months instead of years or decades. Malik and his co-authors agreed that AI-based tools may not totally replace human brain in terms of observations made by virologists, epidemiologists or clinicians; however, the value of AI will play a significant and complementary role by reducing the burden on each stakeholder.

Aside from drug discovery and development, Kesari predicts AI would transform telecommuting and unlock the future of work. Ninety-three percent of respondents in a McKinsey & Company global survey of executives reported an increase in remote working and/or collaboration, with over half of them believing that the shift to remote work would continue. Most of us are into video conferencing applications, but the shift from virtual meetings to virtual workspaces would become more apparent in 2021. Merging mixed reality, 5G, and AI will fuel this trend. I observed this transformation when I was dabbling with the Productivity and collaboration apps in Oculus Quest 2, such as Immersed, vSpatial and Spatial. Facebook launched Oculus for Business, an all-in-one enterprise platform to support companies deploying virtual reality (VR) in the workplace. The possibility of a VR office is not just about holding meetings. Collaborating and socializing in the virtual space will take place. For example, Spatial empowers remote team member, each represented by a photorealistic 3D avatar, to meet and collaborate in virtual project rooms. Soon, physical presence of companies will be replicated in an immersive virtual reality.

In 2021 we will see AI, machine learning, and Internet of Things (IoT) define and shape our lives and behaviors, a phenomenon that will continue for many years to come, says Manoj Choudhary, CTO at Jitterbit. Like Kesari, Choudhary thinks the real star that companies will turn to will be the enabling technologies, such as cloud and edge computing. Forrester predicts that 2021 would be the year when edge computing would take off, which would continue to dominate because of their ability to process and manage all the data that fuels AI, machine learning, and IoT. High-speed chips from Intel and Nvidia, and the rollout of 5G will drive this change. Edge computing will eat into the public clouds growth by shaving five percentage points off cloud growth next year.

A prediction at InsideBigData says most consumers would continue to be skeptical of AI. Many dont understand it or even realize theyre using AI-powered services for free Facebook, Google, TikTok, etc. People should make the effort to understanding the pros and cons in surrendering personal data records to the big data companies. The conversation about AI belongs to everyone, not just people working in the AI ecosystem.

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Artificial intelligence will go mainstream in 2021 The Manila Times - The Manila Times

When people hear the word artificial intelligence, most of us are tend to think about the atrocious robot that takes over humankind asportrayed in sci-fi movies. Even though it is possible whenAI reaches a certain level of improvement, the current developments in technology are mostly human-friendly. Artificial intelligence refers to the simulation of human intelligence in machines programmed to think like humans and mimic their actions. Generally,AI benefits in significant fieldslike finance, healthcare, business, and security. Besides, humans can never beat AI in weather prediction, drug discovery, and stock market crashes. We are alreadyemploying AI to do many jobsin our daily routine. For example, Netflix and Spotify use AI technology to sort the viewers preference. A lot of modern home appliances are powered by AI. Henceforth, let us take a moment to think about some extraordinary things that AI is doing today. Analytics Insight brings you a list of AI applications that shows the power of AI.

We always had a thought on how AI will react if it can hear, taste, or smell things. Scientists and researchers have been working to improve such features in AI machines. Even though it is a long way to reach that stage, tech companies are taking baby steps to improve relative technologies. IBM research is collaborated with a German Fragrance House Symrise to introduce artificial olfaction sensation in the perfume industry. They analyzed present fragrance chemical formulas to develop a new way of preparing fragrances. The companies used data to sort consumer choices and preferences by studying historical buying options. Later, they used the data to mix several aromatic components to give people a unique fragrance. In 2019, two AI-prepared aromas were released by the company.

Pet lovers, please take note. AI pets are stealing the market with more love. Generally, children play with cyborg dogs and little robots. It was not a big deal until the real AI pet entered the tech space. AI pets can recognize emotions and respond to your commands. Yes, it is very heartwarming. MOFLIN is an AI pet with emotional capabilities. It evolves like living animals. MOFLIN is designed to learn and constantly grow, using its interactions to determine patterns and evaluate its surroundings from its sensors. The AI pet chooses from an infinite number of mobile and sound pattern combinations to respond and express their feelings.

Thinking AI as a fortune teller might sound funny. But the futuristic technology is bringing breakthrough changes into the modern landscape. AI researchers are working to make technology discover peoples feelings and emotions with high precision. Stanford University researchers unveiled an algorithm that scans faces on images to declare a person as gay. The AI algorithm is efficient enough to detect a gay with 81% accuracy in men and 74% accuracy in women. Social media platforms are also using AI to flag unusual behavior among people, leading to suicide. Facebooks AI detected over a hundred cases that needed attention.

We are at the technological evolution where AI is capable of showing its interest in art and creativity. Today, AI is composing music, drawing pictures and much more. An AI-based system called MuseNet can now compose classical music that echoes the classical legends, Bach and Mozart. OpenAIs MuseNet is a Deep Neural Network that can create four-minute musical compositions with different tech instruments and combine Mozarts country styles with the Beatles. An algorithm developed by Tao Xu at Microsoft Research generates art or pictures. It is trained on a database of photographs and descriptions, matching certain words to particular colors, textures, and shapes.

AI-powered robots are doing the cooking and serving jobs for a long time. Recently, chef robots have invaded the Chinese military to cook food for army men. However, an AI-machine designing the food you crave or suggesting a dish with the left-over ingredients is something to note. IBMs Chef Watson might be the solution home chefs need to overcome a pantry with only a few ingredients that couldnt possibly go together or welcome inspiration to professional chefs who want to evolve their menu through cognitive cooking and take advantage of seasonal ingredients.

We are familiar with how AI is invading every sector and transforming them for good. But we always thought that we are superior to AI in every way. Currently, AI can benefit the resume filtering process, which can be time-consuming and tedious. Even though there are minor issues like AI recruitment facing discrimination problems, the technology is updating its functionalities to conquer them. Besides, AI software can design interview questions for potential hires with a focus on the persons professional competency for a particular job without knowing their race, gender, or ethnicity.

Smart cities are the dream of both governments and people. Many countries worldwide are trying to turn their developing city into a smart city with Internet of Things (IoT) connectivity. According to Omdia, the global smart city AI software market is set to soar to US$4.9 billion in 2025, up from US$673.8 million in 2019. Wireless data communication standards are enabling smart city applications to move into the online realm where they can capitalize on the latest AI innovations.

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Top 7 Amazing Artificial Intelligence Applications that Are Unfamiliar - Analytics Insight

The owner of a New Haven-based software company is hoping his holiday creation of an elf with artificial intelligence will lead to wider discussion of pros and cons of the technology.

East Rock Software Founder Stephen Robinson said the elfs brain, which allows it to reply to questions, comes from GPT-3, an algorithm developed by a San Francisco-based company, Open AI. A tiny credit card sized computer processes the questions that are being asked of the elf into text that can be understood by GPT-3, which generates a response.

Robinson said he created the elf as a small way to step people into conversations about AI.

I thought it could be a great way for people to see what the technology is, to see what it can do and what its limitations are, Robinson said. Its important for society to begin dialoguing about this and not just have technologists driving the conversation.

Researchers from the University of Delaware found that a majority of those who participated in a recent survey are wary about how artificial intelligence is used. The survey, which was released in August, found that 70 percent of survey respondents favored some kind of government regulation regarding artificial intelligence.

Common fears that people have regarding the use of artificial intelligence are it might make machines smarter than humans, Robinson said.

But new technology has made people worried from the Luddites on forward, Robinson said.

Luddites were English workers in the 19th century who objected to new technologies, according to history.com. The term has come to be used in reference to individuals who fear changes new technologies will bring.

Robinson said artificial intelligence can be beneficial in helping humans make better use of their time.

Theres tons of time that is really wasted, he said. We are in a world where were drowning in information and a lot of it is badly structured. Thats all stuff a computer should be dealing with.

Robinson was raised in England and got a bachelors degree in engineering and a doctorate in autonomous mobile robotic control from the University of Durham in that country. He came to New Haven in 1997 to do post-doctorate degree work at Yale University.

While at Yale in 2000, Robinson won $60,000 in a business plan competition at the school. Winning the competition led him to rethink what he wanted to do with his life.

I thought there was more that could be done in the start-up space than could be done writing academic scholarly papers for the rest of my career, he said.

Robinson founded East Rock Software in 2012. He said the company provides software development services to help businesses track and analyze data.

Robinson said the companys clients include businesses in the machine learning and data science fields.

luther.turmelle@hearstmediact.com

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Youve heard of Elf on the Shelf; in New Haven theres elf with artificial intelligence - New Haven Register

This week sees a wide-ranging set of stories hitting the industry headlines, with NASCAR, the WPT and Artificial Intelligence all in the mix

By: Andrew Burnett

Well kick off with news that the annual NASCAR Foundations Betty Jane France Memorial High Speed Hold Em Poker Tournament will be moving online for 2021, with the World Poker Tours online sweepstakes-based poker platform, ClubWPT playing host on January 11th.

Phil Hellmuth and Maria Ho will be joining actor Michael Rooker as well as a number of NASCAR legends, including Kyle Busch, Martin Truex, Jr and Brad Keselowski to raise funds for charity.

This year has certainly presented its challenges, NASCAR Foundation Chairman Mike Helton stated.

He added: But it has also created new opportunities and we are very excited to host our first virtual poker tournament allowing greater participation as we raise funds to help the children in our racing communities.

Adam Pliska, CEO of the World Poker Tour, said of the move to virtual poker: The World Poker Tour looks forward to extending its online poker partnerships on ClubWPT with The NASCAR Foundation for this event. Philanthropy is top of mind at the WPT, and the WPT Foundation along with its $27 million raised since 2012, is partnering with The NASCAR Foundation to raise awareness for a great cause and provide a safe environment to play.

The six player final table, to be held at a later date, is expected to include two NASCAR drivers, one poker pro, one celebrity and two qualifiers.

Money raised will benefit The NASCAR Foundations Speediatrics Childrens Fund, and the top 3 finishing drivers in the tournament will see $25k, $15k and $10k respectively going to the charity of their choice.

More details can be found at NASCARfoundation.org/poker.

Artificial Intelligence (AI) has long been discussed in the poker world, for many spelling the eventual death knell of the game, for others opening up a wide new world of understanding and knowledge.

A new AI bot, known as ReBel and designed by Facebook, has broken new ground with the ability to play both poker and chess two games which are considered widely divergent when it comes to computers learning them.

Chess, a game of perfect information, recently saw AlphaZero conquer all machines that came before it after teaching itself to play from scratch and mastering the game within mere hours.

Poker, however, as a game of imperfect information has proved much more difficult for a machine to master, although certain versions have seen the bots outplay humans on recent years.

ReBel is set to prove that an AI bot can master both fields, already showing expertise in HUNL (Heads-Up No Limit Holdem) and a game known as Liars Dice.

The algorithm was described by Facebook as as a major step toward developing universal techniques for multiagent interactions, and thus as a step toward complex real-world applications like fraud detection and cybersecurity.

Continuing the AI theme, Tuomas Sandholm, the man behind the poker-playing AI bot Pluribus, has been awarded the 2021 Robert S. Engelmore Memorial Lecture Award from the Association for the Advancement of Artificial Intelligence (AAAI) in recognition of his AI research and his service to the AI community.

Sandholm, along with his student at Carnegie Mellon University, Noam Brown, devised the poker bots Claudico, Libratus and Pluribus.

Though a team of pros, including Doug Polk, won against Claudico, the later version called Libratus won $1.7million from four strong poker pros in the rematch.

Sandholms AI then moved on from Heads-Up play to win at 6-max, the Pluribus version defeating pros including Chris Jesus Ferguson and Darren Elias.

Poker is only a small part of the AIs brief, however, and Sandholms award cites him for outstanding research contributions in AI, its application to electronic marketplaces, his highly original use of AI in strategic multi-player games such as poker and the application of AI to optimize transplant organ exchanges.

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NASCAR Team up with the World Poker Tour while Artificial Intelligence Breaks New Barriers - HighstakesDB

How is Artificial Intelligence Transforming the lives of People with Disabilities?

Technology is an excellent way to enhance the lives of people with disabilities. With the advent of artificial intelligence, several avenues of research have opened up that focus on enhancing the lives of people with impairment.

For instance, Facebook has designed an AI tool that can help the blind see again. This AI model explains the images on the Facebook feed of a blind person, so the person using the screen reader gets an idea of what is going on in the picture.This means people with visual impairment no longer have to hear a screen reader say Photo by John Doe. Googles Look to Speak app uses machine learning and computer vision to allow users to control their devices with their eyes

Similarly, OrCam, a Jerusalem-based company, has developed an AI-based called OrCam Read. This handheld device can read full pages or screens of text aloud from any printed or digital surface, including newspapers, books, product labels, and computers and smartphones. Through this device, OrCam aims to help people with reading challenges, such as dyslexia, mild to moderate vision loss, reading fatigue, as well as for those who read large volumes of text.

Even company giants like Microsoft have started afive-year programcalled AI for Accessibility, with an investment ofUS$25 million,aiming to put AI in the hands of developers to make the world more accessible by providing AI solutions for the specially-abled. Artificial intelligence not only assists people with physical disabilities but is also helping people struggling with learning problems and mental health issues. E.g., Microsofts Windows Hello uses biometric login, i.e., fingerprint, face, or iris, which can work for people with physical disabilities or those with dyslexia who might struggle to remember passwords. AI chatbots like Woebot and Wysa are ensuring the availability of consultation for mental health woes, beyond the therapist hours 24/7.

Meanwhile, people suffering from epilepsy can have seizures from blinking lights and animations. This is why accessiBe, a web accessibility platform enables epileptic users to disable various types of animation, such as GIFs and videos so that they can browse the web without complications. Voiceittis an app for people with speech impediments, including both those who need it temporarily after strokes and brain injuries, and those with more long-term conditions like cerebral palsy, Parkinsons, and Downs syndrome. The app uses machine learning to pick up speakers unique speech patterns, recognize any mispronunciations, and rectify them before creating an audio or text output. Livio AI, developed by Starkey,an AI medical device company, is a hearing aid that will enhance the hearing experience by quieting all the external noise from the environment and tracking health-related data to enable patients to seek help during emergencies.

Thanks to artificial intelligence, autonomous vehicles also promise toprovide people with disabilities more mobilitythan ever before. Once the self-driving vehicles are fully integrated into society, they can be a resourceful asset for people with different disabilities, including motor impairment. These people would no longer be dependent on other people or public transport.

Further, most of the existing testing methods are highly ineffective at pinpointing learning disabilities like dyslexia or dyscalculia. Artificial Intelligence can help teachers and healthcare professionals diagnose early signs of such conditions and help the students accordingly. For instance, Australian startup Dystechhas developed a screening app for early detection of such learning disorders.

Built on Amazon Web Services (AWS), Dystech employs artificial intelligence and machine learning to screen test if the user has dyslexia or dysgraphia. For the former, the app uses datasets of audio recording from both dyslexic and non-dyslexic adults and children to train the AI and relies on users reading aloud words that appear on the screen while being recorded using their smart device during assessment . And for dysgraphia it uses a photo of a handwritten text for screening. After subjected to a 10-minute screening test, app informs users about their likelihood of having dyslexia or dysgraphia.

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How is Artificial Intelligence Transforming the lives of People with Disabilities? - Analytics Insight

If 2020 hasn't been tough enough for you, there's now an Artificial Intelligence bot that wants to judge your taste in music.

Many added sad ballads to their daily song collections on Spotify to keep up with the mood of 2020. Others queued up throwbacks to remember the good times before masks, quarantines, and COVID pods entered into our daily vernacular.

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Some who pride themselves on their ability to make a playlist have tirelessly continued to curate their Spotify brands in 2020 in order to have a flashy "Spotify Wrapped" to share on Instagram by the year's end.

Even if you tried, according to the bot, you probably failed.

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Whether you think you've put together a collection that Beyonc would approve of or you know your profile consists of a very niche type of sound, The Pudding has you covered.

They created an A.I. bot to help you answer the age-old question: How bad is your Spotify?

Find out below how to take the test and to see some of the internet's funniest responses.

Everyone has a friend or a loved one who thinks his or her Spotify is the pinnacle of good taste. The "How Bad Is Your Spotify" test is for them.

The test was created by Matt Daniels and Mike Lacher for The Pudding, which "is a digital publication that explains ideas debated in culture with visual essays."

Those who click on the quiz will be met with the following message: "Our sophisticated A.I. judges your awful taste in music."

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Those who think that their playlists are immune from criticism may not like what the bot tells them. The purpose of the test is to poke fun at people who take their Spotify brands seriously.

Once you do decide to find out how bad your Spotify is, you'll have to log in to your account. The A.I. bot will then dissect your listening patterns and it will cater an insult based on what kind of music you gravitate towards.

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The results tell users what tracks they "listen to too much" and what creators they stan "to an uncomfortable extent."

Participants will ultimately receive a percentage score for how bad / basic their Spotify account is. To add insult to injury, the bot will also tell you if you're stuck in a particular genre or era.

As expected, Twitter users have gleefully responded to the prospect of sharing their "How Bad Is Your Spotify" results ... both the fake and the real ones.

The content is *chef's kiss* perfection, and it makes taking the test worthwhile.

Because honestly, did you even really take the quiz if you didn't share it online?

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This person was roasted for listening to a lot of rap music, and the A.I. bot even asked him if he was OK. If that wasn't enough, the user was also told that his music taste was stuck in the 2010s.

Unsurprisingly, Swifties were given a lot of heat by the A.I.

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Those who find themselves a bit hurt by what the A.I. had to say about their music tastes should be comforted by the fact that they're in good company. The bot is shady toward everyone's lists.

'Tis the season, after all.

You can find out how awful your Spotify is here.

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How Bad Is Your Spotify? There's Artificial Intelligence to Judge Your Taste - Distractify

Home Threats News Cyber Artificial intelligence measure included in must-pass government funding deal

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A group of lawmakers recently touted the Artificial Intelligence (AI) in Government Act, which was included in the must-pass government funding deal and set to become law.

Sens. Brian Schatz (D-HI), Cory Gardner (R-CO), Rob Portman (R-OH), Gary Peters (D-MI), and Amy Klobuchar (D-MN) said the legislation ensures the use of AI across the federal government is effective, ethical, and accountable by providing resources and guidance to federal agencies.

We need to get smart on AI if we want to have a competitive edge against the rest of the world in the next decade, Schatz, ranking member of the Senate Subcommittee on Communications, Technology, Innovation and the Internet, said. That starts with making sure the federal government is using AI technology ethically and effectively. With our bill set to become law, we will now be able to coordinate AI strategy so that all federal agencies can take full advantage of these new technologies and do so in a responsible way.

The Acts provisions include expanding an office within the General Services Administration to provide technical expertise to relevant government agencies; conducting forward-looking research on federal AI policy; promoting domestic competitiveness through agency and industry cooperation; establishing an advisory board to address AI policy opportunities and challenges for executive agencies; and directing the Office of Management and Budget to establish a strategy for investing and using AI as part of the federal data strategy.

Artificial intelligence is an emerging frontier, and the United States has a responsibility to ensure our government is using this technology ethically and efficiently, Peters, ranking member of the Homeland Security and Governmental Affairs Committee and a founding member of the Senate Artificial Intelligence Caucus, said. I am thrilled this bipartisan measure will become law so government employees and agencies can utilize this innovative technology.

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Artificial intelligence measure included in must-pass government funding deal - Homeland Preparedness News

The programmers of the Center for Artificial Intelligence are developing new unique products that can be used in almost all sectors of the economy.The AI center is developing smart sensor technologies. They take readings about the technical condition, operating conditions, operation of production equipment. Now such sensors are equipped with machines in the shops of PetrozavodskMash.

Vasily Melentyev, Director of the Center for Engineering Systems, said:

With the help of vibration, we can identify various kinds of defects and eliminate them. This will not affect the operation of the equipment, that is, the marriage will not go, and it will be regular.

Specialists of the Center for Artificial Intelligence are post-graduate students, teachers, scientists of PetrSU. They are the ones who develop intelligent systems that develop data analysis and search for patterns using algorithms and machine learning methods. Special attention is paid to the tasks of security and video analytics. For example, with the help of video systems, you can calculate those who walk in public places without a mask or without a helmet in production.

Alexey Marakhtanov, Director of the Center for Artificial Intelligence:

Another area is natural language processing. We are developing a series of dialogue systems to simplify the service of the public, students, employees who work remotely.

In addition, the university is now actively introducing VR technologies (Virtual Reality, VR Virtual Reality, Artificial World), which are used to teach students online. Students without leaving home can visit various educational sites, participate in meetings and project development.

Vice-rector for academic affairs K.G. Tarasov noted:

The university has gained quite a lot of experience, and this is due to the first wave of distance learning in spring and summer. And today we have entered the distance as planned and we believe that it is being successfully implemented.

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PetrSU joined the fight for leadership in the field of artificial intelligence applications in Russia and in the world - India Education Diary

Over the course of the COVID-19 pandemic, plenty of evidence has emerged that wearing face masks cuts down on disease transmission and saves lives. Yet even in cities and states that have mandated mask use, compliance in the United States has been unenthusiastic. And good luck finding a law enforcement officer eager to enforce those mandates.

So heres an idea: Why not enlist the help of artificial intelligence to nudge people to mask up?

Seattle software company RealNetworks has developed an app and data platform that aims to promote mask use and address the safety concerns of businesses, governments and other organizations. The app - dubbed MaskCheck - uses AI and a tablets camera to detect whether a passer-by is not wearing a mask or wearing one improperly (in particular, by covering the mouth but leaving the nose free to inhale and exhale virus-laden air).

On HoustonChronicle.com: Houston's Onit acquires New Zealand AI company

The company is offering the software for free in partnership with the COVID-19 International Research Team, a grass-roots effort by scientists around the world to advance efforts to defeat the pandemic.

In its simplest deployment, the app could be used on kiosks in foyers to check mask usage and alert people when theyre not wearing one properly (or at all), while also showing them the right way to cover their faces. Or it could silently gather data on compliance that could help inform policymakers - for example, in determining whether a mask mandate could enable certain businesses and activities to reopen safely.

For those of us frustrated by the stubborn resistance to face coverings in this country, MaskCheck seems like a good way to prod people to put up with a minor inconvenience in the name of public health. And a flat screen on a pedestal at an entrance or in a hallway can deliver the message without provoking a deadly confrontation, an outcome that seems ludicrous yet has been all too real.

The software is trying to address a problem that extends in multiple directions. The people who are concerned about contracting COVID-19 are avoiding places where theyre likely to share space with unmasked strangers. Business owners and employees may let customers go maskless for fear of alienating them or provoking a fight. And with little more than anecdotal evidence about mask compliance, policymakers draw up pandemic countermeasures based on assumptions about risk that may not be true.

I think well make better policy decisions if we have more data, said Rob Glaser, chief executive of RealNetworks. The company plans to make anonymized, aggregated data collected by the MaskCheck app freely available, so researchers and policymakers can see how well mask mandates are or are not working.

RealNetworks may be best known for its RealAudio technology, which gave rise to the streaming media industry in the 1990s. But MaskCheck grew out of the companys work on facial recognition technology, which is just a wee bit more controversial than webcasting and online music services.

Reza Rassool, RealNetworks chief technologist, emphasized that MaskChecks artificial intelligence isnt a facial recognition program. It does not identify people, it just detects the presence of a human face and the position of a mask, if one is being worn. If the person using the app chooses, though, it can estimate the age and gender of each person observed, and it can capture their images, Rassool said.

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Age and gender might be useful in helping policymakers get a demographic breakdown on mask compliance. But theres a trade-off to this utility; the more information the app captures and records, the more it raises the sort of surveillance-state hackles that facial recognition programs do.

The problem with mask mandates today is mainly a political one - a sense by many Americans that the government shouldnt have the power to force them to breathe filtered air. Despite estimates that universal mask use could save tens of thousands of lives, roughly half the population goes out in public without one, and theres little effort to force a change.

Its easy to imagine the app being deployed in more aggressive ways - for example, tied electronically to a door lock to prevent unmasked people from entering a building. But RealNetworks isnt going in that direction now. Its counting on its partnership with the COVID-19 International Research Team to spread the app organically to institutions, governments and businesses across the country in an effort to generate more mask wearing voluntarily.

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Why not enlist the help of artificial intelligence to nudge people to mask up? - Houston Chronicle

WASHINGTON The Pentagons top artificial intelligence office must create an inventory of all ongoing AI activities across the department and services, under a new spending bill expected to pass.

The director of the Joint Artificial Intelligence Center has four months to deliver a report to Congress that details each artificial intelligence activity to give lawmakers a clearer sense of how money is spent on the projects. The requirement is one piece of a huge spending bill with pandemic relief that lawmakers are rushing to approve and President Trump is expected to sign.

The agreement is concerned ... about a lack of coordination among the myriad of artificial intelligence programs within the department and the military services, lawmakers wrote in their notes on the proposal.

The inventory that the JAIC delivers to Congress must include each programs appropriation, project and line number; the current and future years defense program funding; the identification of academic or industry mission partners, if applicable; and any planned transition partners.

The JAIC is tasked with accelerating the adoption of artificial intelligence across the Department of Defense. Lawmakers increased the JAICs operations funding $5 million to account for new commercial geospatial analytics efforts, bringing its total operations funding up to $137 million.

The inventory mandate follows a July 1 report from the departments inspector general that found that the JAIC needed better processes in place to track AI projects across the department.

An AI inventory management process for identifying and developing a baseline of AI projects is necessary to maintain awareness of the types and number of AI projects across the DoD, the inspector general wrote.

At the time, the departments chief information officer, who oversees the JAIC, told the inspector general that the office required services to report AI projects through a budget process. Creating an inventory of all ongoing artificial intelligence projects is no small feat with disparate efforts across each service and their respective research labs.

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The JAIC wants to become the central AI repository for the Defense Department, providing services and combatant commands with software tools and platforms to develop artificial intelligence tools. The organization plans to do that through its Joint Common Foundation, a platform that will be available early next year.

The JAIC will also increase its work with Pentagon components in 2021 by offering services ranging from AI readiness assessments to assistance with more complex capabilities as part of the offices shift to JAIC 2.0, an organizational realignment announced earlier this year to better meet the needs of the war-fighting community.

We think that our transformational value will be much better in the enablement space, Lt. Gen. Michael Groen, JAIC director, said in November. We obviously will continue to do products, well continue to work on some of the high-end, game-changing technologies and programs. But we really want to start a tide that rises all boats across the department.

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Congress wants an inventory of all AI projects at the Pentagon - C4ISRNet

Artificial Intelligence (AI), just like all the other sci-fi technological advancements, used to be something that we read about in fiction novels and watch documentaries about with our family on Nat Geo. That was basically it. Its integration within our everyday lives was still quite far ahead.

However, things are much different now. Thanks to the exponential growth of machine learning and computer programming power in the last decade.

Artificial Intelligence is basically meant to be an imitation of human intelligence with some extensions added on top of it to make it more useful like a calculator that can give you solutions to your math problems without you having to spend time thinking about it for yourself.

In todays time, the question isnt about when artificial intelligence will be integrated in our everyday lives, but about how much of it is already there. A quick example (for all you millennials out there) would be the filters you might have seen and probably even use day-to-day on your social media apps like Instagram or Snapchat.

Another great example would be the voice assistant in your smartphone, probably Googles Google Assistant if you are an android user or Apples Siri if you are an iOS user. These assistants, in fact, are nothing but AI software designed to make your everyday life easier through voice recognition technology.

Pretty cool, right? We think so too. However, artificial intelligence isnt just about goofy filters or voice assistants that often get your command wrong and end up sending you directions to your nearby restaurant when you simply wanted to know what the weather will be like tomorrow morning.

Seeing how incredibly game-changing AI tech is, it didnt take us humans long to try to integrate it with almost every single part of our lives. From actual gaming to software that manage finances of multi-billion dollar industries, AI is incredibly powerful and certainly something that is revolutionizing the world as we speak.

Today, we are going to be exploring one of such use-cases of artificial intelligence: how it influences the banking industry and how the changes that it makes will affect global finance systems.

Before getting into the details, lets talk why such a dramatic change in the banking industry and almost every other industry was inevitable. All of that because of key reason: information.

Today, the average customer is not someone who needs to be told about the functionalities of the products or services they are consuming, but rather someone who already happens to be quite knowledgeable.

All of this, of course, is because of the internet and the information stored in it which is easily publically accessible to almost every single person on the planet. Today, people are more tech-savvy and exposed to advanced technologies in their everyday lives.

Thats why, competition is even fiercer between companies because better alternatives are always available to the potential customer. This led to an increase in the expectations of the customers with regards to the offerings made by companies.

The same applies for the banking industry. Because of this inevitable occurrence, banks are expected to be more efficient, secure, reliable, and fast. Thankfully, AI technology helps deliver almost all of those requests.

In fact, according to a recent research study, artificial intelligence is going to help financial institutions save about $1 trillion in project cost savings. Some stats by Accenture even show that AI will add $1.2 trillion in value to the financial industry by the year 2035.

Not just that, but artificial intelligence is an excellent way to minimize daily operational costs for financial institutions since they make for a great replacement against human employees who have to deal with a lot of repetitive and monotonous tasks like paperwork.

Through artificial intelligence, not only will banks and financial institutions be able to save time and minimize costs, but also increase overall productivity and eliminate error-prone human processes.

On top of that, AI will also make financial transactions really secure with better accountability allowing for reduced cases of money laundering making the job of regulatory bodies such as the FATF relatively easier.

All of these combined makes use for a great opportunity for banks to ditch manual and repetitive activities to AI-based software and focus more on spending time with high-value tasks and create better plans and services for clients that are more personalized and offer greater levels of customer satisfaction.

This might come off as a bit counter-intuitive to some people for obvious reasons. The general question that you might have in mind is that how is an AI software supposed to be better at handling humans than actual humans?

The answer is the same reason why most people today prefer withdrawing their money from an ATM rather than talking to an employee of a bank its faster, more convenient, and frankly, easier than starting a conversation.

Through the application of AI tech, banks can exercise use of AI chatbots and voice assistants that can be optimized in a way that makes them able to handle almost any inquiry of the customer especially at the times when a human employee might be off duty i.e. at night or on holidays.

An AI software wouldnt need a vacation or an increase in salary to increase its morale to keep it working at peak performance unlike an actual human being. It only requires occasional maintenance, if so.

Moreover, any skill that takes days or even weeks to be taught to a human employee, can be installed in an AI-backed software within a few hours using codes. All of this ultimately means 247 available service for the customer irrespective of their time zone, location, or requirements.

The best part about all of this is that AI software are always learning and bettering themselves by gathering new information from every person, every transaction, every activity, and every new feature that is being added to it.

In the coming times, it is predicted that artificial intelligence will completely replace most of the jobs in the banking as well as other industries and completely revolutionize the way we experience consumerism.

Thank you for reading this article. We hope we were able to help you gain some insight on the topic of artificial intelligence and how it influences the banking industry as a whole.

Read Next: How AI will help and change the remote work

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The influence of artificial intelligence on the banking industry - Latest Digital Transformation Trends | Cloud News - Wire19

It has always been said that artificial intelligence is supposed to make human life easier and better. One of the fields in which artificial intelligence can be very effective and improve the quality of human life is treatment, health, and medical services. In general, the use of artificial intelligence in therapeutic and medical processes and makes great help for doctors and patients, as well as for hospitals that use this technology.

Artificial intelligence has numerous applications in medicine and treatment. The meaning of these countless users is that from recognizing the connection between genetic codes to using artificial intelligence robots for difficult surgeries, everyone is among the users of artificial intelligence in the field of medicine. With all these applications, artificial intelligence has been able to create a modern course in health services and take it to another level.

Use artificial intelligence to more accurately diagnose and reduce medical errors

In 2015, 10% of deaths in the United States were due to misdiagnosis and medical errors. For this reason, one of the most important tasks of artificial intelligence in the field of treatment and medicine can be to reduce medical errors and help correctly diagnose diseases.Lack of accurate and complete information about people's medical records is one of the important reasons that can lead to costly and deadly medical errors. Given all this information, artificial intelligence can predict or diagnose a disease very quickly. In one study, for example, an artificial intelligence model using algorithms and in-depth learning performed better than 11 other pathologists in diagnosing breast cancer.

Development of new drugs based on artificial intelligence

The pharmaceutical industry always has a lot of money for research and development, which requires thousands of hours of time and thousands of manpower, which requires huge budgets. Statistics show that medical tests on each drug cost about $ 2.6 billion, while only 10 percent of the drugs tested can be marketed. Due to all these cases, pharmaceutical companies have started to use artificial intelligence due to the many applications that artificial intelligence can have in this field.

One of the most important milestones in the use of artificial intelligence in drug production was in 2007. This year, researchers tried to study the function of yeasts using a robot called Adam. Adam predicted billions of data points in public databases to hypothesize the function of 19 genes in yeast and predicted nine new and accurate hypotheses. Adam's robot friend, Eve, discovered that triclosan, a key ingredient in toothpaste, could fight malaria parasites.

Simplify and streamline the treatment process for patients using artificial intelligence

In the healthcare industry, time is equal to money and capital. Providing an effective patient experience allows hospitals, clinics, and physicians to receive and treat more patients on a daily basis.

In 2016, more than 35 million patients were admitted to U.S. hospitals, each with different diseases and different insurance coverage that creates different conditions. A 2016 study of 35,000 physicians found that 96% of patient complaints about lack of customer service were confusion about paper games and negative experiences with service delivery.

New AI innovations in the healthcare industry can improve the patient experience and help hospital staff process millions of data points faster and more efficiently.

Collect and manage medical data and information using artificial intelligence

One of the next frontiers to be conquered by big data will undoubtedly be the healthcare industry. Valuable information is sometimes lost in the millions of data, causing the industry to lose hundreds of billions of dollars. In addition, the inability to connect important data points slows down the development of new drugs, the production of prophylactic drugs, and the proper detection process.

Many healthcare professionals have turned to artificial intelligence to prevent these losses. This technology has the ability to analyze millions of data in minutes and extract information from which we need to spend a lot of time to obtain them

Get help from robots based on artificial intelligence in surgery

In recent years, the use of robots in surgery has become somewhat popular. Hospitals use robots in many areas, from minimally invasive treatments to open-heart surgery. According to a U.S. clinic, robots help physicians perform complex treatments with precision, flexibility and control that go beyond human capabilities.

Robots equipped with cameras, mechanical arms and surgical instruments increase the experience, skills and knowledge of physicians to create a new type of surgery. Surgeons control these mechanical arms using a computer. The robot gives the doctor a three-dimensional view with a magnification of the surgical site on the patient's body, which was not possible before and doctors used to rely only on the power of the eyes. Finally, this robot can guide the surgeon and the whole team.

Robotic surgeries reduce the risk of surgery, and the patient will feel less pain after surgery. In addition, in robotic surgeries, the patient's recovery time is reduced.

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Application of artificial intelligence in the field of treatment and medicine - Tehran Times

AI isn't just for robotaxis.

Artificial intelligence technology is powering change across all industries, but its not always easy to separate the companies with truly transformative applications from marketing hype. Thats why Forbes annually compiles an annual list of the most promising startups emerging as leaders in this space.

Is AI central to what your company does, not just a driver for an auxiliary business or a tool to improve an existing product? We want to hear from you.

Nominations are now open for the third annual Forbes AI 50 list, which highlights private companies using artificial intelligence to solve difficult problems, create innovative services and effect positive change.

Read More: Americas Most Promising Artificial Intelligence Companies

Forbes, in partnership with Sequoia Capital, will evaluate hundreds of companies serving a range of industries and consider metrics including AI talent, revenue, growth and valuation. A panel of expert judges will also assess how innovative and essential AI is to each applicant companys business.

We welcome any U.S.-based (or Canadian) private company to apply by filling out this form. The deadline for submissions is Tuesday, January 19. (The number of nominations wont influence our selection, so stick to just one submission per company, please.)

We look forward to hearing from you!

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at @alanohnsman

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Using Artificial Intelligence To Transform An Industry? Nominations For The 2021 AI 50 List Are Open - Forbes

December 17, 2020 -While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a persons mental health as well a trend that has only grown more common with the spread of COVID-19.

A recent survey revealed that 50.7 percent of cancer patients had symptoms of anxiety during the pandemic, while 46.8 precent reported having depression. People with cancer are also feeling the economic impact of coronavirus: In a separate study, 38 percent of patients said the pandemic has had negative consequences on their financial situation, hindering their ability to pay for care.

At the Center for Cancer and Blood Disorders in Texas, providers understood that improving cancer outcomes would require a comprehensive view of patient health.

We realized very quickly that if we were going to successfully control costs and provide high-quality healthcare for cancer patients, we would have to risk manage our patients, Ray Page, PhD, an oncologist and hematologist at the Center for Cancer and Blood Disorders in Forth Worth and Weatherford, told HealthITAnalytics.

It's mandatory that we identify our most vulnerable patients the ones that are most likely to get sick and have adverse outcomes to better manage them.

READ MORE: Over 80% of Health Execs Have Artificial Intelligence Plans in Place

In order to better understand which patients were at risk and why, the organization leveraged a clinical artificial intelligence solution from Jvion that examines individuals clinical and socioeconomic factors.

We identified seven different vectors, two that we consider high risk vectors, said Page.

We wanted to see if we could stratify those risks of the thousands of patients in our practice and anticipate which ones would deteriorate in the next six months: who would get depression, who would end up in the hospital or emergency room, who would experience an increase in pain that would require drugs, or who would die.

By stratifying patients into those risk categories, Page and his colleagues are able to use the resources available to them to better manage patient care and improve outcomes. Providers can refer patients to relevant clinical and non-clinical services, Page noted.

We have caseworkers that review and identify all these high-risk patients, who make sure that these patients are doing well and offer patients the opportunity to use our ancillary services, he said.

READ MORE: Artificial Intelligence Method Builds in Error for Better Models

But we also have a patient navigator, a social worker, a nutritionist, on-site rehabilitation, and pre-rehabilitation for people that are getting prepared for their chemo and radiation. We have a psychologist, we have a pain doctor, and we have an acupuncturist. With this AI tool, we can plug those people into the service lines that are most needed for them.

The entity also has practices in place that helped ensure the seamless integration of the tool.

Our physician board has, in essence, pre-prescribed orders. If we have a case worker or a case manager that identifies one of our patients as being high risk in a certain vector, an automatic consult occurs, Page explained.

A physician doesn't have to make that call; it's already a standing order. That makes the whole clinical workflow and the clinical process smoother and easier.

The platform can provide clinicians with information they may not otherwise be able to discover during visits with patients, Page stated.

READ MORE: Study Uses Artificial Intelligence for Alzheimers Drug Development

As a busy doctor, where you're seeing 30 patients a day and they're all very sick, you're squeezed for your time with the patients. You may get seven to ten minutes of face-to-face time with the patient. Most of that face-to-face time is dealing with clinical issues, like nausea, vomiting, pain, cancer progression, and the next phase of chemotherapy. And then you're moving on to the next patient, he said.

We don't really have the opportunity to talk about what their life situation is, their nutritional issues, or how theyre getting their bills paid. There is no way that a clinician can vet that.

With the help of AI and advanced analytics, providers can get a more holistic view of patient health, and use that information to better meet patients needs.

If you have an AI tool that is analyzing at least 4,000 of those relational social determinants of health, it can help the clinician become aware of any non-clinical challenges that their patients may be facing. It becomes a great additive tool, and it can allow us to go way beyond what we typically have time for as providers, Page said.

In order to get the best outcomes in cancer, and to help patients get the best benefits from their therapy, you've got to optimize their health as much as possible. This AI solution enables us to use the appropriate resources in our organization to make our patients healthier and happier.

Although the technology can help enhance the capabilities of clinicians, Page emphasized that the tool doesnt eliminate all of the challenges that can come with being human.

These AI tools learn very fast with feedback and by following trends and patients over time. A supercomputer or a powerful machine that has analyzed all these data elements can learn much quicker than humans do, he said.

However, this is a learning process. Even when we identify patients that are at high risk of having adverse outcomes, and we throw every resource known to man to make their situation better, sometimes you still have a patient that doesn't want to modify their behaviors or they don't want resist pain. You're still dealing with humans and the human condition.

With consistent development and refinement, Page stated that AI solutions will become more widespread throughout the field of oncology.

As we learn and become more efficient with these tools, and we start analyzing more real-world data, the technology is going to continue to be integrated into cancer centers and clinics, he concluded.

AI will optimize outcomes and make cancer-related outcomes better for everybody. Tools like these allow us to proactively identify patients that are depressed, and approach and manage them so they can have the best mental state as they're dealing with their cancer.

Go here to read the rest:

Delivering Proactive Mental Healthcare With Artificial Intelligence - HealthITAnalytics.com

Artificial intelligence which is agricultures other AI and also referred to as deep learning or machine learning (ML) interacts with us every day. From Siri, to Alexa, to cars that help you drive and park, to algorithms that serve you ads, news, job and home listings, to suggestions for what music and news to listen to, its there. The goals of artificial intelligence include learning, reasoning, and perception the computer programs write themselves, get better the more data they are fed to learn from (co-called Big Data), and we dont really know how they do it.

Agriculture is one of the oldest and most important professions; worldwide it is a $5 trillion industry. The global population is expected to reach more than 9 billion by 2050, and agricultural production will need to more than double (70 percent) to fulfill the demand. Land, water, and resources are already becoming insufficient due to multiple economic, environmental, and sociological forces. A smarter, more efficient, and even more productive approach for the supply-demand chain is urgently needed.

Artificial intelligence technologies are poised to yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain. Internet of Things (IoT) technologies and advanced analytics help farmers analyze real time data like weather, temperature, moisture, prices, or GPS signals.

A few examples of AI- or ML-enabled technologies are:

Farmers are contributing to the development of these high-tech scientific accomplishments: collecting the big data to feed and train these AI models, and helping to prove drone and robot technology for precise cultivation for higher crop yield and better quality while using fewer resources for the betterment of the entire industry. It is estimated that farmers generate over 4.1 million data points per day, and have already deployed over 75 million Internet of Things (IoT) interconnected devices.

AI will allow farms of all sizes to meet the challenges of the 21st century and beyond.

Dr. Carol Lynn Curchoe is the founder of32ATPs, and is a scientist, teacher, consultant, advisor, and author. You canfind her on Twitter.

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Artificial intelligence is intertwined in precision agriculture - AGDAILY

Spin To Bring Sidewalk Riding and Parking Detection Technology to Cities Across the United States and United Kingdom

Spin Insight Level 2, powered by Drover AI's groundbreaking computer vision and machine learning platform, equips Spin's vehicles with a camera, an array of sensors, and on-board computing power. By leveraging powerful Artificial Intelligence (AI) tools, Drover's technology is highly adaptive and easily scaled to new environments, allowing an e-scooter to understand its surroundings in real time and assist riders in making safe riding decisions.

This week, Spin included Spin Insight Level 2 in a proposal for the first time as part of the e-scooter permit application for New York City. If Spin is awarded a permit in New York City, the City will receive the first large-scale deployment of Spin's sidewalk riding and improper parking solution starting in the Spring.

"Spin is proud of its record of collaboration with cities to develop solutions that benefit their citizens. We are excited to partner with Drover, who have proven to have the best-in-class micromobility AI technology, to power Spin Insight. This is Spin's latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians. With nearly all municipalities prohibiting scooter use on sidewalks, Spin Insight data in combination with Spin's in-app mapping technology that enables riders to find routes that maximize bike lane use can be used as a key tool by cities to help enforce local regulations and promote safe riding behaviors in dense, urban environments like New York City," said Derrick Ko, Chief Executive Officer at Spin.

Additionally, the technology will enable Spin to share accurate insights with cities about the prevalence and location of sidewalk riding and bike lane riding, which can be used to identify potential congestion issues and road damage and highlight areas that may benefit from infrastructure improvements.

Akin to advanced driver assistance systems (ADAS) that use on-board sensors to help automobile drivers park, brake, and stay in their lanes, Spin Insight Level 2 has the ability to combine the latest in sensor and artificial intelligence technologies to enable local regulation compliance enforcement and create a safer experience for riders and pedestrians. "We are building the ADAS for micromobility. Spin Insight Level 2 is designed to create a safer riding experience, with the potential to unlock everything from slowing speeds on sidewalks to forward-collision warnings." said Derrick Ko, Chief Executive Officer at Spin.

"In a unique approach, Drover's use of edge-based machine learning produces a highly nimble and scalable solution that doesn't depend on availability of GPS, ground truth information or network-based validations. We are very excited to be working with Spin in this effort to deploy Drover's AI-powered technology in the rapidly evolving micromobility space with the ultimate goal of ensuring safe, responsible and compliant deployments for all stakeholders in cities," said Christian Scheder-Bieschin, Co-founder & Chief Executive Officer at Drover AI.

Spin will continue to build off of this technology and its Spin Insight platform to further enhance vehicle durability and safety. Future capabilities are planned to include ADAS-like features such as detecting wrong-way riding, adjusting vehicle speed based on riding conditions, and collision warnings.

To download the press kit containing visual assets, visit thislink.

Spin Insight

Spin Insight Level 1 Capabilities: TodaySpin Insight Level 1 capabilities were firstlaunched in 2017. This includes:

Spin Insight Level 2, Powered by Drover AI's PathPilot: Spring 2021Spin Insight Level 2 unlocks new capabilities including:

Future Levels

Dynamic control of top vehicle speed, including no-ride and slow-ride zone detection Virtual parking and no-parking zone support Tip over detection Theft and hacking deterrence, including: Unexpected behavior detection Wheels auto-locking and throttledeactivation Audio alarms Real time feedback from onboard sensors to monitor the health of critical vehicle elements, including but not limited to the battery voltage and temperature Battery Motor Control board systems And more

Real-time sidewalk riding detection triggering audible warnings for the rider and pedestrians nearby Real-time bike lane riding detection Real-time scooter/bike rack detection for proper parking validation Riding behavior and infrastructure insights to enforce local regulations and promote safer riding

Enhanced vehicle monitoring system for improved durability and lifespan, with machine learning (ML) based predictions Wrong-way riding detection system Forward collision detection system

About SpinHeadquartered in San Francisco, Spin is one of the leading micromobility companies and a unit of Ford Mobility. Spin has been recognized for launching the first stationless mobility program in the United States and was instrumental in crafting the world's first mobility permit system. As a trusted and reliable partner, Spin currently operates electric scooters in many cities and universities nationwide in the U.S. and Europe. Spin consists of a diverse team of experienced professionals from government and private sectors, and the transportation advocacy world, all of whom are committed to fulfilling the company's mission--giving people the freedom to move and bringing people, communities and their urban environment closer together. https://www.spin.app

About Drover AIDrover specializes in advanced AI-based IoT solutions for last-mile transportation designed to elevate the performance of fleets while exceeding the regulatory requirements of the cities that host them. Drover's product, PathPilot, delivers granular infrastructure distinction even in the absence of often unreliable GPS data allowing for unparalleled location awareness and the ability to take corresponding actions. Drover enables a safe and intelligent experience through technology in order to help ensure the long-term success of micromobility as a sustainable and integral part of urban transportation. For additional information, visitwww.drover.ai or email [emailprotected]

Spin Press ContactMaria BuczkowskiSenior Communications Manager[emailprotected]

SOURCE Spin

https://www.spin.app/

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Spin Announces Cutting Edge On-Vehicle Artificial Intelligence (AI) Platform To Bring Sidewalk Riding and Parking Detection Technology to Cities...

Artificial intelligence (AI) machines or computer programs capable of learning and problem-solving to perform tasks that typically require humans can make people and organizations more efficient. At the same time, these technological advances can prompt serious concerns around privacy, equity and safety.

In response to this societal challenge, the University of California formed a Presidential Working Group on Artificial Intelligence in early 2020 that brings together leading campus experts to determine how UC can harness the significant benefits offered by AI while ensuring its responsible use.

AI can help UC operate better in many ways such as reducing biases inherent in human decision-making, strengthening cybersecurity and improving the quality of health care, said Stuart Russell, professor of computer science at UC Berkeley, co-chair of the working group and a world-renowned expert on the development and ethical deployment of artificial intelligence. The work of this panel places UC at the forefront of developing principles and standards for the ethical use of AI in a university setting.

Forms of AI, such as machine learning and predictive modeling, have been used for decades to help people streamline their work by automating time-consuming or complex tasks. Today, AI is used for everything from financial fraud detection to identifying terrorism suspects. When used correctly, it has shown promise in uncovering unconscious bias in the selection of job applicants, or in improving health care outcomes by more thoroughly and rapidly processing patient health metrics, data and images.

Areas where AI can most benefit UC operations include health, human resources, campus safety and student experiences, such as admissions and grading. If not thoughtfully implemented and monitored, AI can have unintended consequences such as reinforcing human biases, misidentifying an individual through facial recognition, inadvertently revealing private information or failing to accurately diagnose a patients symptoms.

The University of California is an ideal place for the thorny undertaking of defining safe and ethical uses for AI, said UC President Michael V. Drake, M.D. We have the intellectual horsepower in technology, law, ethics and other disciplines to realize the benefits of AI while establishing necessary, practical safeguards.

UCs AI Working Group has the potential to positively impact artificial intelligence beyond the Universitys own uses. Because of UCs size and stature as a preeminent public research university as well as Californias third-largest employer, its guidelines for ethical development and implementation of AI could influence standards within academia, business and government worldwide.

The AI Working Groups University of California Ethical Principles, slated for publication in January 2021, will focus on transparency, fairness and accountability. A full report on AI governance and technical recommendations for the University is expected in fall 2021.

In addition to Russell, UCs AI Working Group is co-chaired by Brandie Nonnecke, director of the CITRIS Policy Lab at UC Berkeley, and Alex Bustamante, senior vice president and chief compliance and audit officer in UCs Office of the President. Members of the working group draw from faculty, staff and researchers at all 10 UC campuses. A complete list is on the website of the UC Office of the President.

The presidential group was launched by the UC Office of the Presidents Office of Ethics, Compliance and Audit Services (ECAS) and the CITRIS Policy Lab, which is housed within CITRIS and the Banatao Institute.

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UC convenes Artificial Intelligence Working Group to harness innovative technology, establish guardrails for equitable and ethical use - University of...

NEW YORK, Dec. 17, 2020 /PRNewswire/ -- COVID-19 has been a major driver behind explosive technological advances this year as companies have focused on doing what they do best but even better. While some advancements have targeted saving lives, others have focused on saving livelihoods, as financial stability and security can be almost as important as health in today's world of emotional and economic fear and uncertainty. The pandemic has transformed the world in many ways, including bringing data collection and digital technologies to the forefront of a socially distanced world. With this in mind, Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF) (Profile) recently made history by offering the first-ever, end-to-end venue-tracing and management solution. A provider of contactless solutions and artificial intelligence aimed at driving automated marketing, venue management and tracing to the brick-and-mortar space, Loop made its mark as it created a "bubble" platform for NCAA basketball to take place in Nevada and Florida. Using Loop Insights' venue-tracing platform combined with revised safety protocol, numerous games were played over several days and in several venues without a single case of COVID-19 being reported. Data collection, automated marketing and other transformational technology is driving success for other industry movers and shakers as well. The cloud data platform Snowflake Inc. (NYSE: SNOW) recently announced a partnership with the state of California to deliver fast, frictionless public access to COVID-19 data via the Snowflake Data Marketplace. Automated marketing is key to Shopify Inc. (TSX:SHOP) (NYSE:SHOP), the leading multi-channel commerce platform that just unveiled the latest in commerce technology. Commerce is also at the heart of ads, one of the main services provided by Facebook Inc. (NASDAQ: FB). And in terms of sheer ability to manage and aggregate data, Nielsen N.V. (NYSE: NLSN) just announced plans to launch Nielsen One, a single, cross-media solution to drive more comparable and comprehensive metrics across platforms.

Click hereto view the custom infographic of the Loop Insights editorial.

A Bubble of Safety, Protection

Once reserved for the most sick and frail, a "bubble" means something different today than it ever has before. With the COVID-19 pandemic topping 16 million casesand the death count nearing 300,000, bubbles today are viewed as places of safety and protection for just about everyone, regardless of whether they are traveling, playing or watching sports, or even attending school or working at the office.

The idea of creating such a vast and complete bubble might seem unrealistic and financially prohibitive. However, real-world experience has proven otherwise. In an attempt to save its 2020 season, the NBA invested $150 million to create the "Disney World Bubble," which "recouped $1.5 billion in revenuethat might have been lost had the season ended when COVID-19 paused it on March 11. And no positive tests came out of the bubble among players, staff and media."After losing nearly $1 billionby scrapping its popular March Madness tournament this year, the NCAA is looking to avoid a repeat.

The Loop System

The NCAA has substantial proof that a bubble is effective after partnering with Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF)and its turnkey venue-tracing solution. The collegiate sports organization planned and put together the #VegasBubble in Nevada and the #BeachBubble in Florida during the 10 days of the basketball season, which included 11 NCAA Division 1 men's and women's teams.

An integral part of the plan was Loop's system, which included all the requisite hardware, software, rapid mobile testing and integrated lab results. All users have to do is register and receive a wallet pass on their mobile phones and then check in at designated contactless devices. After that, location-based beacons, GPS and Internet of Things (IoT) technology takes over.

The system is infinitely scalable and has proven high adoption rates compared to other apps because additional hardware or software isn't required. The system uses the mobile wallet that already exists on a user's mobile device. Loop uses this same near-field communication (NFC) technology backed by Apple and Google.

And in a world where personal information is paramount, all collected data is de-identified and securely stored in Loop's data portal where its artificial intelligence (AI) technology shares essential details such as movements, active users, occupancy levels, promotions and more. In addition, Loop' s real-time messaging keeps users up-to-date on critical information and alerts individuals who are at risk or in need of a COVID-19 rapid test.

Indisputable Data

The world has been devastated by COVID-19 in so many different ways. And while healthy is paramount, it has becoming increasingly evident that the ability to enjoy life and earn a living cannot be underestimated. With that in mind, the value of sports at all levels is rising. Teams, schools, leagues and ancillary businesses that depend on sports cannot afford to see seasons canceled. Loop and its partner, bdG Sports, one of the nation's leading content providers in college basketball programming, clearly proved that they don't have to be.

The two innovation leaders worked closely with the NCAA and host sites to identify best practices under new health and safety protocols and implement the first-ever, end-to-end COVID-19 venue solution in a live environment. Given the months-long dearth of live events, the ability to plan, attend and enjoy a wide range of sports events in almost unlimited venues holds almost irresistible allure. Certainly Loop's bubble success has garnered the company worldwide attention.

It's not an exaggeration to say that the whole world was watching to see if Loop's claims that its technology could protect players and staff throughout the week-plus of men's and women's Division I games would stand up. And as teams battled over the ball at MGM Grand Garden Arena, Mandalay Bay Events Center and T-Mobile Arena in Las Vegas and Hertz Arena and Alico Arena in Fort Meyers, Florida, Loop may have come out the clear winner.

The data is indisputable. Loop's system did not suffer any outages, and user experiences proved to be as seamless as anticipated. The #BeachBubble alone over seven days consisted of:

"[We] hit it out of the park," Loop reported, noting that its bubble solution "is nothing short of world-class." Armed with these successes and with few companies keeping up, Loop Insights is already in negotiations to re-open major sporting events from North America to Australia.

"Loop's venue bubble platform has provided us with the peace of mind to move forward with our return-to-play efforts in college basketball safely," said bdG Sports CEO Brooks Downing. In addition to safety and providing an aggregated report on activity via the Insights platform, companies obtain a competitive marketing edge because the data drives Loop's Engage platformto generate real-time targeted promotions to event attendees.

And protection and safety isn't the only thing Loop provided during the NCAA bubbles. In fact, the Loop system also provides sponsors with new revenue stream opportunities. The system also offers event sponsors the ability to add highly targeted promotions to Loop's venue-tracing wallet pass the perfect way to ensure that event attendees and participants see personalized promotions.

This innovative technology could mean the return of live sports, conventions, concerts and festivals. Loop recently partneredwith SimpliFlying, noting that discussions about possible uses have "significantly advanced" to offer travel bubbles with fully integrated rapid testing, tracing and notifications removing the need for mandated quarantines.

Technology, Data Come Together

Clearly the time has never been better for technology and data to come together, whether in the form of data collection, automated marketing or other transformational applications and uses. Other companies have clearly recognized the opportunity as well and are offering powerful products and services that meet compelling needs.

California has been using Snowflake Inc.'s (NYSE: SNOW) single, integrated cloud data platform to store and analyze a multitude of data sets, including the current number of COVID-19 cases across the state, total suspected cases, number of residents receiving treatment in a hospital ICU, available and in-use hospital beds and ventilators, and the demographics of COVID-19 patients. "The State of California's response to the COVID-19 emergency has been enhanced greatly by the ability to share, collaborate, and communicate data and information in new ways that are meaningful to health professionals and allied support entities during this crisis," said Scott Gregory, the state technology department's chief technology innovation officer.

Shopify Inc. (NYSE:SHOP) (TSX:SHOP)is transforming commerce by announcing platform enhancements and updatesfocused on giving direct-to-consumer brands everything they need to build and manage a business. According to the company, innovations include a newly updated Shopify Plus platform for enterprise brands, more global capabilities, and for the first time, Shopify is expanding its offering with a fulfillment network that will allow merchants of all sizes to deliver their products fast and at a low cost.

A huge portion of Facebook Inc.'s (NASDAQ: FB) revenue stems from its ads; the company's most recent financials for Q3 2020 show more than $21 billion in ad revenue. "We had a strong quarter as people and businesses continue to rely on our services to stay connected and create economic opportunity during these tough times," said Facebook founder and CEO Mark Zuckerberg, Facebook founder and CEO. "We continue to make significant investments in our products and hiring in order to deliver new and meaningful experiences for our community around the world."

And just last week Nielsen N.V. (NYSE: NLSN) announced its exclusive cross-media solution, calledNielsen ONE, also targeting connecting advertisers and consumers in an easier, faster approach. As audiences move seamlessly between linear, streaming and digital, advertisers are demanding a single, deduplicated view of their audience across all platforms and mediums, while publishers want to provide more ad options for buyers and improve the overall viewer experience, Nielsen explained. Nielsen One provides visibility into audiences by platform and unique demographic profiles of each publisher.

With all the huge strides that companies are taking in efforts to provide the world with stability and security, there's reason to look toward the future with optimism. The advancements taking place today will almost certainly continue to have widespread use and life-changing applications moving forward.

For more information about Loop Insights, please visit Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF).

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Artificial Intelligence, Contactless Solutions Set to Provide Safety Protocols to Enable Reopening of Live Events in 2021 - PRNewswire

Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerings, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19

New York, Dec. 21, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Automotive Artificial Intelligence Market Research Report by Technology, by Process, by Offerings, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913345/?utm_source=GNW

The Global Automotive Artificial Intelligence Market is expected to grow from USD 715.71 Million in 2019 to USD 3,967.57 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 33.03%.

Market Segmentation & Coverage:This research report categorizes the Automotive Artificial Intelligence to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the Automotive Artificial Intelligence Market studied across Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing.

Based on Process, the Automotive Artificial Intelligence Market studied across Data Mining, Image Recognition, and Signal Recognition.

Based on Offerings, the Automotive Artificial Intelligence Market studied across Hardware and Software. The Hardware further studied across Neuromorphic Architecture and Von Neumann Architecture. The Software further studied across Platforms and Solutions.

Based on Application, the Automotive Artificial Intelligence Market studied across Autonomous Vehicle, HumanMachine Interface, and Semi-Autonomous Driving.

Based on Geography, the Automotive Artificial Intelligence Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed 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 Automotive Artificial Intelligence Market including Alphabet Inc., Audi AG, Bayerische Motoren Werke AG, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla, Inc., Toyota Motor Corporation, Volvo Car Corporation, and Xilinx Inc..

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Automotive Artificial Intelligence 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 the market 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 Automotive Artificial Intelligence Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Automotive Artificial Intelligence Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Automotive Artificial Intelligence Market?4. What is the competitive strategic window for opportunities in the Global Automotive Artificial Intelligence Market?5. What are the technology trends and regulatory frameworks in the Global Automotive Artificial Intelligence Market?6. What are the modes and strategic moves considered suitable for entering the Global Automotive Artificial Intelligence Market?Read the full report: https://www.reportlinker.com/p05913345/?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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