Category Archives: Singularity

The United States offshore wind industry is tiny, with just seven wind turbines operating off Rhode Island and Virginia. The few attempts to build large-scale wind farms like Europes have run into long delays, but that may be about to change.

On May 11, 2021, the US government issued the final federal approval for the Vineyard Wind project, a utility-scale wind farm that has been over a decade in the planning. The wind farms developers plan to install 62 giant turbines in the Atlantic Ocean about 15 miles off Marthas Vineyard, Massachusetts, with enough capacity to power 400,000 homes with clean energy.

The project is the first approved since the Biden administration announced a goal in March to develop 30,000 megawatts of offshore wind capacity this decade and promised to accelerate the federal review process. To put that goal in perspective, the US has just 42 megawatts today. Vineyard Wind expects to add 800 megawatts in 2023.

So, are we finally seeing the launch of a thriving offshore wind industry in the North America?

Several wind farm developers already hold leases in prime locations off the Eastern Seaboard, suggesting plenty of interest. As engineering professors leading the Energy Transition Initiative and Wind Energy Center at the University of Massachusetts Amherst, we have been closely watching the industrys challenges and progress. The process could move quickly once permitting and approvals are on track, but there are still obstacles.

Vineyard Wind had planned to begin construction in 2019, but a ruling by the federal Bureau of Ocean Energy Management under the Trump administration stalled it. The ruling cast a shadow over other wind farm plans and hopes for a US offshore wind industry.

The agency ruled that the developers needed to address what is called cumulative impacts: what the East Coast will look like when there are not one or two, but 20 or 40 large-scale wind farms. That part of the US coast is ideal for wind power because of its wide, shallow shelf and proximity to cities that are looking for renewable electricity to reduce their climate impact.

Many researchers studying offshore wind, including some of our colleagues, urge planners to take this perspective.

But thinking carefully about a far future with several wind farms does not justify blocking the first utility-scale wind farm now. That first large wind farm will be an opportunity to learn, including about how wind turbines will interact with marine ecosystems. Right now there is almost no data on the impacts of offshore wind on the regions marine wildlife. The knowledge gained will be invaluable in moving forward responsibly.

Speeding up federal approvals for offshore wind farms is an important first step, but those arent the only hurdles for offshore wind farm developers. A large number of state environmental and coastal agencies also must approve offshore wind farm plans, and the communities where cables come ashore have a say.

Many of the Northeastern states, including Massachusetts, have their own offshore wind energy goals, so theyre likely to support wind farms. But some wealthy communities and the fishing industry have pushed back on wind power in the past. Vineyard Winds developers worked with community groups and fishermen from the region and agreed to compensate them for potential revenue losses.

The federal approval process, even fast-tracked, is also time-consuming. The government conducts reviews and requires site assessment plans, including geological, environmental and hazard surveys. From planning to construction, the entire process can take five to six years or more.

Some other big questions revolve around construction.

Under a 1920 law known as the Jones Act, only US-registered vessels operated by US citizens or permanent residents can move cargo between US ports. In December 2020, Congress made clear that this law applies to wind turbine construction, too.

When companies build offshore wind turbines today, they use special vessels for the installation of the most common offshore turbine designs. The US doesnt have any of these vessels yet, and the Jones Act makes it difficult to rely on vessels from Europe to do the job. There is promise, though: The first US-made version of this vessel is being built in Texas right now. Thats one; the country will need several to meet the new goal.

Vineyard Winds plan uses one of the worlds largest turbines, GEs Haliade-X, to reduce the number of turbines needed. Each has a capacity of 13 megawatts and blades the length of a football field. Image Credit: GE

A thriving wind power industry will also need ports for storing and deploying the long turbine blades, plus a trained workforce for construction and turbine maintenance.

A few coastal states have a head start on this. Massachusetts started laying the groundwork early and already has a port terminal in New Bedford to support the construction and deployment of future offshore wind projects. New Jersey recently announced a plan for a new offshore wind port that will start construction in 2022, and Delaware has been considering one.

States are also investing in training. New York state announced a US$20 million offshore wind training institute in January 2021 with the goal of training 2,500 workers. The Biden administration envisions 44,000 people employed in offshore wind by 2030, and many more in communities connected to offshore wind power activity.

In Europe, where many governments have reduced regulatory risks to the industry, the cost of offshore wind energy has come down much faster than experts expected, to around $50 per megawatt-hour. If the Biden administrations new approach allows US wind farms to achieve costs like this, then offshore wind, with its proximity to large urban centers on the East Coast, will be competitive.

Its also important to recognize other benefits. Every year of delay for a large-scale wind farm costs the US hundreds of millions of dollars in climate benefits. The Biden administration calculates that its new wind power goal would avoid 78 million metric tons of carbon dioxide, roughly equivalent to taking 17 million cars off the road for a year.

This article updates a version published March 31, 2021.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Image Credit: T.W. van Urk/Shutterstock.com

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The US Just Approved Its First Big Offshore Wind Farm, and It's a Breakthrough for the Industry - Singularity Hub

Amy Adams stars in The Woman in the Window. Photo: Melinda Sue Gordon, Netflix

A Joe Wright movie is like a box of chocolates. The first might be delicious. The next, you might have to spit out.

This is the director that gave us a repellent, joyless, nonsensical Peter Pan spin-off (Pan) and an Anna Karenina that made audiences root for the train. Yet this is also the director behind two great films Darkest Hour and Atonement and one of the best Jane Austen adaptations (Pride & Prejudice) of the past 20 years.

The Woman in the Window, streaming on Netflix on Friday, May 14, is, unfortunately, one of Wrights amazingly bad movies, and this is a shame, with Amy Adams at the center of it.

Adams is an indefinably great leading lady not in the sense that her greatness cant be defined, but that the quality of indefinability is tied to whats great about her. Shes not distinctive in a way that we associate with other movie stars. Her power is as a vessel of seeming ordinariness that is raised to a level of singularity. This makes her a stealth performer. Through Adams precise consciousness and depth of thought, her intuition and second-by-second communicative power, we watch as her characters are revealed by degrees. So, its disappointing to see Adams giving her intelligence to a vehicle so inadequately conceived that there can be no revelation.

Yet to think, it sounded great: Adams as a woman who snoops on her neighbors, kind of like James Stewart in Rear Window; with Julianne Moore, Anthony Mackie and Gary Oldman in the supporting cast, and with a script adapted by Tracy Letts from A.J. Finns novel. This movie has been on the way for months, delayed again and again, and when it turned up on the Netflix schedule, it felt like, Ahhh, big stars again. Big movies again. Normal life again.

Of course, one aspect of normal life, which tends to be forgotten in the haze of nostalgia, is that it contained a lot of bad movies. In this prime example, Adams plays a drug-addicted, alcoholic, agoraphobic therapist who spends a lot of her non-drinking time looking out the window.

The problem is, shes not very good at it. Unlike Stewart, who hung back in the shadows, shes visible to everyone. And curiously, even though people know shes watching, nobody puts up curtains, drapes or a humble shade, even before they kill somebody.

By the way, before the murder is committed, we know who did it. One of the neighbors comes to visit, acting slightly more wiggy than Peter Lorre, and the woman welcomes him into her home. True, its understandable that someone who never leaves the house might welcome a visitor with the enthusiasm of Gene Hackmans hermit in Young Frankenstein. But shes supposed to be a mental health professional, and if she cant tell that her visitor is alarmingly bizarre, she might want to rethink her career.

The supposed fun of Woman in the Window is that the woman witnesses something, but because shes a mentally unhinged substance abuser, the cops dont believe her and her neighbors feel at license to scream at her.

Gary Oldman has a ridiculous role, in which he flies off the handle in every scene. The screaming has no mooring in sense or backstory; its just an actor trying to do something with nothing.

With its superior cast, its intelligent art direction and a filmmaker capable of exceptional work, Woman in the Window is like a race car revving in a driveway, with nowhere to go. It shows that even the best actors and an occasionally masterful director cant get from the front door to the mailbox without a decent script.

KThe Woman in the Window: Suspense thriller. Starring Amy Adams and Gary Oldman. Directed by Joe Wright. (R. 100 minutes.) Streaming on Netflix starting Friday, May 14.

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Review: The Woman in the Window is one of director Joe Wrights stinkers, even with Amy Adams as star - SF Chronicle Datebook

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SentinelOne is the Only Vendor To Score Highest Across All Three Critical Capabilities Use Cases

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--SentinelOne, the autonomous cybersecurity platform company, today announced that Gartner has positioned SentinelOne with the highest score in use case Type B in Gartners 2021 Critical Capabilities for Endpoint Protection Platforms report1.

SentinelOne received the highest score for all three customer types out of 19 vendors. Gartner says, Type B organizations aim to stay relatively current on technology without getting too far ahead or behind their competition.

We believe receiving the highest product score among organizations prioritizing overall value in the 2021 Critical Capabilities for Endpoint Protection Platforms validates our vision and execution in delivering an AI-powered platform purpose built for the demands of the mainstream enterprise market, said Raj Rajamani, Chief Product Officer, SentinelOne. These organizations represent the largest market segment out of Gartners use cases and prioritize technology deployments that improve their organizations productivity, product quality, customer service, and security.

The Critical Capabilities for Endpoint Protection Platforms is part of the analysis conducted for the 2021 Magic Quadrant for Endpoint Protection Platforms2 and uses the same data collected during that research period. In conjunction with the report, we believe our ease of use, prevention, managed services and EDR functionality satisfied customer needs to the highest possible degree across all use cases -- use cases A, B, and C.

SentinelOne was also positioned by Gartner as a Leader in the 2021 Magic Quadrant for Endpoint Protection Platforms. SentinelOnes Singularity Platform encompasses prevention, detection, and response capabilities across endpoints, containers, cloud workloads, and IoT devices in a single, completely autonomous platform - using patented behavioral and static AI models to deliver protection with an invisible performance impact. With SentinelOne, organizations scale their cybersecurity with an AI-powered solution that provides transparency into everything that is happening across the network at machine speed and successfully replaces traditional antivirus.

- Download a complimentary copy of the 2021 Gartner Critical Capabilities for Endpoint Protection platforms by visiting: LINK

- Register for our upcoming webinar on Wednesday, May 19th at 10:00 AM PDT by visiting: LINK

- Download a complimentary copy of the 2021 Gartner Magic Quadrant for Endpoint Protection platforms by visiting: LINK

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartners research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.

Gartner Peer Insights Customers Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.

About SentinelOne

SentinelOne is the only cybersecurity solution encompassing AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed to defeat every attack, at every stage of the threat lifecycle. To learn more visit http://www.sentinelone.com or follow us at @SentinelOne, on LinkedIn or Facebook.

1Gartner, Magic Quadrant for Endpoint Protection Platforms, Paul Webber, Peter Firstbrook, Rob Smith, Mark Harris Prateek Bhajanka, 5 May 2021.

2Gartner, Critical Capabilities for Endpoint Protection Platforms, Mark Harris, Peter Firstbrook, Rob Smith, Paul Webber Prateek Bhajanka, 6 May 2021.

View source version on businesswire.com: https://www.businesswire.com/news/home/20210513005651/en/

Brian Merrillfama PR for SentinelOneP: 617-986-5005E: S1@famapr.com

Source: SentinelOne

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SentinelOne Receives Highest Score for Type B Use Case in the Gartner 2021 Critical Capabilities for Endpoint Protection Platforms - StreetInsider.com

Last year, a guy in a jet suit glided up a mountain to trial whether jet suits could be a useful tool for emergency responders in wilderness areas. It went pretty well; the jet suit-clad pilot reached the mountainside location in 90 seconds, as compared to the 25 minutes it would have taken an emergency responder on foot. Now the same suit is being trialed by the British Royal Marines as a possible tool for boarding ships at sea.

In what sort of situation would you need to fly onto a ship? To fight pirates, for one.

The jet suit is made by UK-based Gravity Industries, whose founder Richard Browning was himself in the Royal Marine Reserves for a time. Having set and then broken the Guinness World Record for the fastest speed flown in a body-controlled jet engine powered suit (who knew world records got so specific?) in 2019, Browning started looking for practical and humanitarian applications for his invention.

Boarding a ship thats been hostilely taken over isnt an application that would have come to many peoples minds (my own included), but it seemed to work pretty well, albeit in a staged simulation where no one was using weapons. During the trial, Gravity Industries employees operated the jet suit, using it to board a Royal Navy Batch 2 River-class offshore patrol ship called the HMS Tamar.

The jet suit wearer took off from a speedboat moving behind the much larger ship, more or less as would be done in a true visit, board, search, and seizure, or VBSS, which is military speak for getting on a ship whose captain or crew dont want you there; it applies in situations like trying to capture an enemy ship or intercept terrorists or smugglersor pirates.

Once on board the HMS Tamar, the pilot dropped a rope ladder for the other people on the speedboat to board the ship. If you saw the excellent 2013 movie Captain Phillips, you may remember the scene where the pirates are able to get past the ships water hoses and fire bombs, pull up next to it, attach a ladder, and climb right on; chaos and destruction ensue.

Gravity envisions the jet suit being able to provide extremely rapid access to any part of the target vessel, instantly freeing up hands to bear a weapon, and even retaining the capability to relocate on target or self-exfiltrate. I mean, how much easier would it have been to rescue Tom Hanks with a jet suit? (to whatever extent the movie is accurate, though, a bullet-proof version may not be a bad idea).

Piracy is, unfortunately, still a very real problem. As one expert notes, 2000 through 2011 saw high levels of pirate activity, with the Gulf of Aden area off the coast of East Africa becoming the most pirate-infested part of the world, and the most dangerous for cargo ships. Efforts to make ships more secure, patrol waters more thoroughly, and improve health and education services on land all helped curb attacks on ships from 2012 to 2019. The economic hardship brought by the pandemic, however, likely contributed to an increase in attacks last year, and the outlook going forward is uncertain.

The British Marines havent publicly stated whether they plan to move forward with employing jet suits; with a price tag of around $400,000, theyd be a significant investment, and army personnel would need to be trained to use themthough Browning told Digital Trends that the way this thing flies is very much an intuitive part of your body, adding that people have gotten the hang of it in four or five goes, with each go just lasting around 90 seconds.

Image Credit: Gravity Industries

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Watch a Jet Suit Pilot Fly Onto a Ship to Trial the Tech for Fighting Pirates - Singularity Hub

Theres a name thats mentioned in every story written about artificial intelligence (AI) since 1984, and its not a scientist. Its Arnold Schwarzenegger. So lets get this out of the way. The Terminator is a very fine film, but it is not a documentary.

Futurist and author Gihan Perera, who has been watching computer intelligence grow exponentially for 30 years, admits, Artificial intelligence scares some people. They think its a killer robot. Theyre thinking of Arnie Schwarzenegger, but thats not what AI is. Its just self-learning software.

We dont need to worry about the singularity. Thats dystopian thinking. But theres also a utopian view where, thanks to AI, well all be living lives of luxury, doing everything we choose to do.

The reality will be somewhere in between.

This sounds vaguely reassuring. Whats not in doubt is that businesses which dont quickly adapt to and capitalise on the myriad advantages of AI will be terminated by those that do.

In business, if youre not engaging with AI, youre going to get beaten; its that simple, explains Perera, author of Disrupted: Leading the Change Through Crisis, Recovery and Growth.

One of the biggest mistakes that I see leaders make with AI is that they dont realise how powerful it already is. They pray that they wont need to get on the AI bandwagon because they think its too difficult, but its already here, and the businesses on the bandwagon are riding away from them.

The key is a term that humans generally struggle to understand exponential growth (rarely seen in nature, or at least, not until a health pandemic comes along).

We dont see much exponential growth in real life, and the best business example is Kodak, which was one of the biggest brands in the world in 1995, and filed for bankruptcy in 2012, Perera says.

Kodak didnt understand exponential growth. We often hear that they were afraid of digital, but it was actually someone in the company that invented the digital camera, took it to senior management and said, What do you think of this?

You might think management said, Destroy it. Its going to kill us, but its the opposite; they said, This thing is grainy. Its slow. It will never be as high quality as film. Dont worry about it.

But they didnt take into account that technology grows exponentially, and they were quickly overtaken.

Another thing a lot of people dont realise is just how much AI is already a part of their everyday lives, and how much it is driving the success of some of the biggest companies on the planet.

AI already sets the prices on Amazon, predicts your Google searches, runs your GPS, sends you an Uber, matches buyers and sellers online, recommends songs on Spotify and even qualifies borrowers for companies like Ant Financial Services Group.

In business, if youre not engaging with AI, youre going to get beaten; its that simple. Gihan Perera

This giant Chinese company valued at around A$400 billion, or three to four times the equity value of Goldman Sachs uses AI for consumer lending, credit-rating services, investment funds and selling health insurance.

Marco Iansiti, a Harvard professor of business administration and co-author of Competing in the Age of AI, explained in the Harvard Business Review, Unlike traditional banks, investment institutions, and insurance companies, Ant Financial is built on a digital core.

There are no workers in its critical path of operating activities. AI runs the show. There is no manager approving loans, no employee providing financial advice, no representative authorising consumer medical expenses.

And without the operating constraints that limit traditional firms, Ant Financial can compete in unprecedented ways.

This isnt the future; its whats happening right now, and regardless of whether you run a digital startup or are part of a traditional business, its essential to understand the revolutionary impact AI has on operations, strategy and competition, Iansiti says.

Again, its important to realise were not talking about the AI of science fiction here computers that are indistinguishable from humans and able to reason like us, which is known as strong AI.

All you need to shake up a business completely is computers that can perform and continually get better at tasks, lots of them, traditionally left to humans, or weak AI.

Software makes up the core of the firm, while humans are moved to the edge, as Iansiti puts it.

This will, of course, mean fewer jobs for humans partly because AI systems will work 24 hours a day for almost no dollars, which humans cannot and will not and the implications are far reaching.

AI-based operating models can exact a real human toll, Iansiti says in the Harvard Business Review article. Several studies suggest that perhaps half of current work activities may be replaced by AI-enabled systems. We shouldnt be too surprised by that.

After all, operating models have long been designed to make many tasks predictable and repeatable. Processes for scanning products at check-outs, making lattes and removing hernias, for instance, benefit from standardisation and dont require too much human creativity.

Toby Walsh, Professor of Artificial Intelligence at UNSW Sydneys School of Computer Science and Engineering, sees hope in that latte example, however, and says that in some ways, AI will make humans more valuable and valued.

Computers arent going to take over all jobs because we are social animals. We prefer human contact. I mean, why do we pay humans to make coffee when a machine can make it better? Because we like the fact that baristas flirt with us, gossip with us, Walsh insists.

Therell be plenty of jobs like that doctors, for example; they will have AI assistants, but we will prefer a human telling us the bad news because they have empathy.

Ubers will be autonomous eventually. Thats how theyll really start making money, but people will pay extra to have a chauffeur. They might not even drive the car, but well pay for them to carry our bags and chat to us.

Well also pay extra for humans because we prefer them.

Perera agrees that its not time to panic yet. While the growth of AI may be exponential, people, on the other hand, are slow to change, so weve got time.

McKinsey actually did a report that found that robots and AI will create more jobs than they destroy, but what we worked at 20 years ago is not going to work in the future, he cautions.

Its also going to change the kind of jobs we have. When Uber went looking for a new boss, they hired a tech expert, not someone with experience at a taxi company.

Walsh, who has been fascinated by AI for 40 years, agrees that companies and business leaders need to adapt because things are changing at incredible speed.

The past decade has been the most exciting because AI has moved out of the laboratory. Ten years ago, I never spoke to a journalist or a politician about it, and now, Im constantly being asked, Where is this taking us? he says.

Its true, though, that any company that sits on its hands will be eaten by its competitors. Look at Amazon, FedEx. Theyre the early adopters. Theyre the ones that are prospering while other companies are going to wither.

Walsh says the short-sighted way to introduce AI into your business is to merely focus on reducing headcount, but he says thats a race to the bottom.

The other way to look at it is as an opportunity to see that peoples time is freed up by AI, so they should concentrate on improving the product, moving the business forward, Walsh says. It allows you to concentrate on what people are good at, that emotional intelligence that humans have.

Perera, who regularly helps businesses and large corporations integrate AI into their workplaces, has very specific advice. He says the first thing to do is buy the AI tools that can assist in your peripheral operations.

AI can record your Zoom meetings, file them away and then give you instant retrieval, based on a few words you recall from the meeting, he says.

It can also answer an email from someone seeking to interview you, look at your diary and then because it knows what time of day you like to do that kind of thing offer that person some options and set up the whole thing for you. The other person will assume theyre dealing with your human EA. Its that seamless.

The second step is to look at how you can build AI into your main operations: Things like your supply chain, production, collecting data, getting AI to analyse and take advantage of that, Perera explains.

And you dont have to build this from scratch. You can rent AI the same way you rent office space. Google and Amazon rent out their incredibly powerful machine-learning systems for your use.

You can even use IBMs Watson for US$100 a month. Its an incredibly powerful machine-learning AI that actually beat humans at the game show Jeopardy, which is something we think only humans could understand because it uses double meanings and wordplay.

But it wasnt trying to work like a human brain. It was using data and creating patterns. You can imagine how useful that would be to businesses.

So just how profound a change are we looking at in the way that business, and our lives, are run? Were talking genuinely revolutionary, like the industrial revolution, only bigger and faster, according to Walsh.

People forget that the weekend was invented by the industrial revolution. That was a human-made construction, brought about by workers wanting Sunday off, and because of the gains made by industry, they got that, he explains.

We could end up with a three-day weekend. You could pay people more for less work and theyd be happier.

As for timing, if you look back at 2020, it was clearly a time of change in many ways, but Perera believes it will be a landmark year in what he calls the technological revolution.

Well look back in 20 or 30 years time at how much COVID-19 accelerated digital change and automation, the way we all started to work through screens, contactless payment, online shopping, he predicts. Well look back at this as a really significant moment in that change.

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How AI could give us a four-day work week and shape the future of business - The CEO Magazine

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--SentinelOne, the autonomous cybersecurity platform company, today announced that Gartner has positioned SentinelOne with the highest scores in all three use cases; Type A, B, & C in Gartners 2021 Critical Capabilities for Endpoint Protection Platforms report1.

Out of the 19 vendors included in the report, SentinelOne is the only vendor that received the highest score across all three Critical Capabilities use cases:

We believe receiving the highest product score across all three customer use cases in the 2021 Critical Capabilities for Endpoint Protection Platforms validates our vision and execution in delivering an AI-powered platform that is purpose built for the demands of the mainstream enterprise market, said Raj Rajamani, Chief Product Officer, SentinelOne. We believe these results are a clear demonstration of the unrivaled capabilities SentinelOne delivers to a diverse set of customers and is representative of the continued market traction were experiencing.

The Critical Capabilities for Endpoint Protection Platforms is part of the analysis conducted for the 2021 Magic Quadrant for Endpoint Protection Platforms2 and uses the same data collected during that research period. In conjunction with the report, we believe our ease of use, prevention, managed services and EDR functionality satisfied customer needs to the highest possible degree across all use cases -- use cases A, B, and C.

SentinelOne was also positioned by Gartner as a Leader in the 2021 Magic Quadrant for Endpoint Protection Platforms. SentinelOnes Singularity Platform encompasses prevention, detection, and response capabilities across endpoints, containers, cloud workloads, and IoT devices in a single, completely autonomous platform - using patented behavioral and static AI models to deliver protection with an invisible performance impact. With SentinelOne, organizations scale their cybersecurity with an AI-powered solution that provides transparency into everything that is happening across the network at machine speed and successfully replaces traditional antivirus.

- Download a complimentary copy of the 2021 Gartner Critical Capabilities for Endpoint Protection platforms by visiting: LINK

- Register for our upcoming webinar on Wednesday, May 19th at 10:00 AM PDT by visiting: LINK

- Download a complimentary copy of the 2021 Gartner Magic Quadrant for Endpoint Protection platforms by visiting: LINK

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartners research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.

Gartner Peer Insights Customers Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.

About SentinelOne

SentinelOne is the only cybersecurity solution encompassing AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed to defeat every attack, at every stage of the threat lifecycle. To learn more visit http://www.sentinelone.com or follow us at @SentinelOne, on LinkedIn or Facebook.

1 Gartner, Magic Quadrant for Endpoint Protection Platforms, Paul Webber, Peter Firstbrook, Rob Smith, Mark Harris Prateek Bhajanka, 5 May 2021.2 Gartner, Critical Capabilities for Endpoint Protection Platforms, Mark Harris, Peter Firstbrook, Rob Smith, Paul Webber Prateek Bhajanka, 6 May 2021.

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SentinelOne is the Only Vendor to Score Highest Across All Three Gartner Critical Capabilities Use Cases - Business Wire

Pravin Hungund, Chief Technologist and Global Head Technovation Centre, CTO, Wipro Ltd.

By Pravin Hungund, Chief Technologist and Global Head Technovation Centre, CTO, Wipro Limited

The year 2020 fast forwarded the need to adopt emerging technologies. In the pre-pandemic world, emerging technologies typically lived through a one to two year window, to either fade away or mature. Today, however, most of them have quickly become an essential requirement, in order to address societal challenges.

The world of technology has gone through multiple evolutions, moving from Phygital to going digital. In this phase we witnessed the maturing of emerging tech, which in turn accelerated automation. Then from going digital enterprises went to being digital which enabled a hands free operating mode for the industry. The pandemic has caused a further shift into a digital in the virtual mode.

The Digital in the virtual world and the technology concepts that enable it.

The codified centric approach has proven its might at a time where there is a need for certain human free operation. At Wipro, this is exemplified by a simple DIY app that helps track Covid-19 using Artificial Intelligence to pre-screen, track and assign degrees of urgency to patients. Right from sample submissions to AI analysis to results transferred to patients, the entire process is digital. This way, certain burdens are lifted from those working to battle Covid-19 and additionally those who may be vulnerable can be protected better.

The state of the Digital in the Virtual world today

The fintech industry is considered to be a horizontal enabler to every industry and acts as a reflector of emerging and existing industry trends across sectors. This is also true for the concept of digital in a virtual world.

The emergence of the intelligent enterprise: Merging of technologies, industries, and digital native conduct.

The pandemic generated dialogues around intellectual property (IP) and underscored its criticality in a post digital era, for every business. Today, IP has emerged as a must have for enterprises worldwide if they want to survive.

We witnessed the positive impact of an operational intelligent enterprise when we went into the lock down that caused the entire business ecosystem to come to a grinding halt. Despite the lock down, select enterprises thrived in the scenario of constraints and ambiguity. While some businesses lost in select areas of business, others grew their revenue and expanded their sphere of influence and customer base. Several factors contributed to that success such as the fact that their product offering was crucial to the needs of the industry and they were in the cloud. However, the most important reason for this success was the foundational operating modes that made these companies intelligent.

The emerging tech ecosystem An Autonomous Operating Model

The foundation of Technological Singularity

Technology singularity is a hypothetical concept that indicates a point in time at which the use of technology grows exponentially and irreversibly, resulting in never before imagined opportunities and changes to human civilisation.

While currently technological singularity is a hypothetical event, the massive growth in technology due to unprecedented innovation is real. These innovations have the power to unlock new paradigms, as they converge.

The Emergence

Take into consideration the below converging technology themes at different layers,

When integrated end to end, with emerging technologies such as Cloud Tech, IoT, AI, 5G, Blockchain, Robotics and Augmented Reality/Virtual Reality, these layers produce tactical themes which enable intelligent enterprises. This could include Augmented Virtuality, an Integrated approach to simulation and modelling, Intelligent Mechatronics and Human Machine Collaborative Intelligence. In addition, a new trend of convergence can emerge across operations, data and engineering and game tech. The four layers of convergence of OT, IT, GT and ET will be the drivers of the intelligent enterprise ecosystem in the future.

These fundamental changes make the dialogue on an enterprises intellectual property strategy even more critical for not only profitability but for survival. While technology singularity may still be in the distant future, technology convergence will surely give rise to computable environments and extend the internet functionality beyond its current form to sharing even experiences remotely at the edge. As technology evolves post pandemic era, enterprises will leverage IPs to shift from hands free to an autonomous operating model. These will be the levers from further shift from automation to an autonomous enterprise. Leveraging collaborative innovation, crowdsourcing and open innovation systems, will become a more fundamental society need.

If you have an interesting article / experience / case study to share, please get in touch with us at [emailprotected]

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Intelligent enterprises and the importance of intellectual property - Express Computer

Thats not all. One of the details that helps explain the watchs singularity is its variable-geometry rotor, quite possibly the most esoteric function ever integrated into a watch. It gives the wearer control over the rate at which the rotor (the freely oscillating weight that charges an automatic watch) spins, based on how active theyre likely to be while wearing it.

So if youre feeling frisky, you may want to push the red gold segment to the rotors centre to slow the winding down. On the other hand, if youre languishing like a lounge lizard, move it to the outer edge so that when you do lift a finger, your watch winds more efficiently.

Those familiar with the British automotive marque will recognise some of the visual cues that link watch and car. The overall form is one of them, as is the canopy-shaped section running through the centre of the watch. More obvious is the engraving of the word Speedtail into the case at six oclock and the flash of McLarenorangethat runs through the lower part of the dial and into the black rubber strap, mirroring the Speedtails central tail light. And, like the car, only 106RM 40-01watches will be made.

The Speedtail, which was pitched as the spiritual successor to McLarens iconic F1, sold out in a flash. Secondhand models, sometimes with only factory miles on the clock, are already commanding values well over $3 million, significantly above the original start price. Buyers of Richard Milles new hyperwatch will be hoping it proves just as collectible.

richardmille.com

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Richard Mille just revealed the most extreme watch its ever made - British GQ

Location in spacetime where the mass and gravitational field of a celestial body is predicted to become infinite

A gravitational singularity, spacetime singularity or simply singularity is a location in spacetime where the density and gravitational field of a celestial body is predicted to become infinite by general relativity in a way that does not depend on the coordinate system. The quantities used to measure gravitational field strength are the scalar invariant curvatures of spacetime, which includes a measure of the density of matter. Since such quantities become infinite at the singularity point, the laws of normal spacetime break down.[1][2]

Gravitational singularities are mainly considered in the context of general relativity, where density apparently becomes infinite at the center of a black hole, and within astrophysics and cosmology as the earliest state of the universe during the Big Bang/White Hole. Physicists are undecided whether the prediction of singularities means that they actually exist (or existed at the start of the Big Bang), or that current knowledge is insufficient to describe what happens at such extreme densities.

General relativity predicts that any object collapsing beyond a certain point (for stars this is the Schwarzschild radius) would form a black hole, inside which a singularity (covered by an event horizon) would be formed.[3] The PenroseHawking singularity theorems define a singularity to have geodesics that cannot be extended in a smooth manner.[4] The termination of such a geodesic is considered to be the singularity.

The initial state of the universe, at the beginning of the Big Bang, is also predicted by modern theories to have been a singularity.[5] In this case, the universe did not collapse into a black hole, because currently-known calculations and density limits for gravitational collapse are usually based upon objects of relatively constant size, such as stars, and do not necessarily apply in the same way to rapidly expanding space such as the Big Bang. Neither general relativity nor quantum mechanics can currently describe the earliest moments of the Big Bang,[6] but in general, quantum mechanics does not permit particles to inhabit a space smaller than their wavelengths.[7]

Many theories in physics have mathematical singularities of one kind or another. Equations for these physical theories predict that the ball of mass of some quantity becomes infinite or increases without limit. This is generally a sign for a missing piece in the theory, as in the ultraviolet catastrophe, re-normalization, and instability of a hydrogen atom predicted by the Larmor formula.

Some theories, such as the theory of loop quantum gravity, suggest that singularities may not exist.[8] This is also true for such classical unified field theories as the EinsteinMaxwellDirac equations. The idea can be stated in the form that due to quantum gravity effects, there is a minimum distance beyond which the force of gravity no longer continues to increase as the distance between the masses becomes shorter, or alternatively that interpenetrating particle waves mask gravitational effects that would be felt at a distance.

There are different types of singularities, each with different physical features which have characteristics relevant to the theories from which they originally emerged, such as the different shape of the singularities, conical and curved. They have also been hypothesized to occur without Event Horizons, structures which delineate one spacetime section from another in which events cannot affect past the horizon; these are called naked.

A conical singularity occurs when there is a point where the limit of every diffeomorphism invariant quantity is finite, in which case spacetime is not smooth at the point of the limit itself. Thus, spacetime looks like a cone around this point, where the singularity is located at the tip of the cone. The metric can be finite everywhere the coordinate system is used.

An example of such a conical singularity is a cosmic string and a Schwarzschild black hole.[9]

Solutions to the equations of general relativity or another theory of gravity (such as supergravity) often result in encountering points where the metric blows up to infinity. However, many of these points are completely regular, and the infinities are merely a result of using an inappropriate coordinate system at this point. In order to test whether there is a singularity at a certain point, one must check whether at this point diffeomorphism invariant quantities (i.e. scalars) become infinite. Such quantities are the same in every coordinate system, so these infinities will not "go away" by a change of coordinates.

An example is the Schwarzschild solution that describes a non-rotating, uncharged black hole. In coordinate systems convenient for working in regions far away from the black hole, a part of the metric becomes infinite at the event horizon. However, spacetime at the event horizon is regular. The regularity becomes evident when changing to another coordinate system (such as the Kruskal coordinates), where the metric is perfectly smooth. On the other hand, in the center of the black hole, where the metric becomes infinite as well, the solutions suggest a singularity exists. The existence of the singularity can be verified by noting that the Kretschmann scalar, being the square of the Riemann tensor i.e. R R {displaystyle R_{mu nu rho sigma }R^{mu nu rho sigma }} , which is diffeomorphism invariant, is infinite.

While in a non-rotating black hole the singularity occurs at a single point in the model coordinates, called a "point singularity", in a rotating black hole, also known as a Kerr black hole, the singularity occurs on a ring (a circular line), known as a "ring singularity". Such a singularity may also theoretically become a wormhole.[10]

More generally, a spacetime is considered singular if it is geodesically incomplete, meaning that there are freely-falling particles whose motion cannot be determined beyond a finite time, being after the point of reaching the singularity. For example, any observer inside the event horizon of a non-rotating black hole would fall into its center within a finite period of time. The classical version of the Big Bang cosmological model of the universe contains a causal singularity at the start of time (t=0), where all time-like geodesics have no extensions into the past. Extrapolating backward to this hypothetical time 0 results in a universe with all spatial dimensions of size zero, infinite density, infinite temperature, and infinite spacetime curvature.

Until the early 1990s, it was widely believed that general relativity hides every singularity behind an event horizon, making naked singularities impossible. This is referred to as the cosmic censorship hypothesis. However, in 1991, physicists Stuart Shapiro and Saul Teukolsky performed computer simulations of a rotating plane of dust that indicated that general relativity might allow for "naked" singularities. What these objects would actually look like in such a model is unknown. Nor is it known whether singularities would still arise if the simplifying assumptions used to make the simulation were removed. However, it is hypothesized that light entering a singularity would similarly have its geodesics terminated, thus making the naked singularity look like a black hole.[11][12][13]

Disappearing event horizons exist in theKerr metric, which is a spinning black hole in a vacuum, if theangular momentum( J {displaystyle J} ) is high enough. Transforming the Kerr metric toBoyerLindquist coordinates, it can be shown[14]that the coordinate (which is not the radius) of the event horizon is, r = ( 2 a 2 ) 1 / 2 {displaystyle r_{pm }=mu pm (mu ^{2}-a^{2})^{1/2}} , where = G M / c 2 {displaystyle mu =GM/c^{2}} , and a = J / M c {displaystyle a=J/Mc} . In this case, "event horizons disappear" means when the solutions are complex for r {displaystyle r_{pm }} , or 2 < a 2 {displaystyle mu ^{2} M 2 {displaystyle J>M^{2}} ), i.e. the spin exceeds what is normally viewed as the upper limit of its physically possible values.

Similarly, disappearing event horizons can also be seen with theReissnerNordstrmgeometry of a charged black hole if the charge( Q {displaystyle Q} ) is high enough. In this metric, it can be shown[15]that the singularities occur at r = ( 2 q 2 ) 1 / 2 {displaystyle r_{pm }=mu pm (mu ^{2}-q^{2})^{1/2}} , where = G M / c 2 {displaystyle mu =GM/c^{2}} , and q 2 = G Q 2 / ( 4 0 c 4 ) {displaystyle q^{2}=GQ^{2}/(4pi epsilon _{0}c^{4})} . Of the three possible cases for the relative values of {displaystyle mu } and q {displaystyle q} , the case where 2 < q 2 {displaystyle mu ^{2} M {displaystyle Q>M} ), i.e. the charge exceeds what is normally viewed as the upper limit of its physically possible values. Also, actual astrophysical black holes are not expected to possess any appreciable charge.

A black hole possessing the lowest M {displaystyle M} value consistent with its J {displaystyle J} and Q {displaystyle Q} values and the limits noted above, i.e., one just at the point of losing its event horizon, is termed extremal.

Before Stephen Hawking came up with the concept of Hawking radiation, the question of black holes having entropy had been avoided. However, this concept demonstrates that black holes radiate energy, which conserves entropy and solves the incompatibility problems with the second law of thermodynamics. Entropy, however, implies heat and therefore temperature. The loss of energy also implies that black holes do not last forever, but rather evaporate or decay slowly. Black hole temperature is inversely related to mass.[16] All known black hole candidates are so large that their temperature is far below that of the cosmic background radiation, which means they will gain energy on net by absorbing this radiation. They cannot begin to lose energy on net until the background temperature falls below their own temperature. This will occur at a cosmological redshift of more than one million, rather than the thousand or so since the background radiation formed.[citation needed]

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Gravitational singularity - Wikipedia

A Singularity image, which can be referred to as a container, is a single file that contains a virtual file system. After creating an image you can install an operating system, applications, and save meta-data with it.

Whereas Docker assembles images from layers that are stored on your computer (viewed with the docker -ps command), a Singularity image is just one file that can sit on your Desktop, in a folder on your cluster, or anywhere.

Having Singularity containers housed within a single image file greatly simplifies management tasks such as sharing, copying, and branching your containers. It also means that standard Linux file system concepts like permissions, ownership, and ACLs apply to the container (e.g. I can give read only access to a colleague, or block access completely with a simple chmod command).

Singularity will create a default container image of 768MiB using the following command:

How big is it?

We can now use ls to list details about the image.

Note the permissions of the image make it executable. Singularity images can be executed directly.

You can change the maximum size of an image you create using the --size option. Note that --size is not a global option. It is an option to the create sub-command and must therefore follow it:

If you have already created an image and wish to overwrite it, you can do so with the --force option. This option must also follow the create sub-command.

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You can increase the size of an image after it has been instantiated by using the expand Singularity sub-command as follows:

Similar to the create sub-command, you can override the default size increase (which is 768MiB) by using the --size option.

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Once an image has been created and an OS has been added with the import or bootstrap commands, you can use the shell command to start an interactive shell within the container. But this is not possible when an image does not yet contain a functional OS or shell. For debugging, development, or simply inspecting an image that lacks a functional shell you can use the mount command like so:

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At this point the image just contains a bare file system because we havent used something like the bootstrap or import commands to install an OS.

Singularity mounts images in private name-spaces so that the mount is only visible and accessible from within the freshly spawned shell. When you are finished, you can simply exit the shell and the file system will be automatically unmounted.

Files can be copied from the image to the host when it is mounted in this way, but they cannot be copied from the host into the image. This is because the image is mounted in read-only mode by default and the mount point is owned by the root user. To copy files into a mounted image, first become root and then mount the image with the --writable option to the mount sub-command.

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A primary goal of Singularity is mobility. The single file image format makes mobility easy.

Because Singularity images are single files, they are easily copied and managed. You can copy the image to create a branch, share the image and distribute the image as easily as copying any other file you control!

If you want an automated solution for building and hosting your image, you can use our container registry Singularity Hub. Singulairty Hub can automatically build bootstrap specification files from a Github repository each time that you push. It provides a simple cloud solution for storing and sharing your image.

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Create an Image | Singularity