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AI for Physical Security – Analytics Jobs

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As of today, lots of companies state to assist security firms, the army, in addition to consumers prevent crime and defend their private, homes, and buildings belongings. This particular article intends to offer business leaders in the security space with a concept of what they are able to presently expect from Ai in the business of theirs. We wish this report allows company leaders in security to garner insights they are able to confidently relay to the executive teams of theirs so they are able to make educated choices when thinking about AI adoption. At the minimum, this article intends to serve as a technique of decreasing the time industry leaders in physical security spend researching AI businesses with whom they might (or might not) be keen on working. Evolv Technology claims to offer a physical security system that consists of the Evolve Edgepersonnel threat screening machine that works with the Evolv Pinpoint automated facial recognition application.


To understand artificial intelligence in 2019, watch this 1960 TV show

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"If the computer is this important, why haven't I heard more about it?" "Well, the computer is a relatively new thing, and we're just really getting an appreciation for the full range of its usefulness. Many people think that it's going to spark a revolution that will change the face of the earth almost as much as the first industrial revolution did." The skeptic posing the question is David Wayne, a crusty actor familiar to audiences of the time from movies such as Adam's Rib and TV shows like The Twilight Zone. The two men are cohosts of "The Thinking Machine," a documentary about artificial intelligence aired as part of a CBS series called Tomorrow, which the network produced in conjunction with MIT.


Why Weather Data Is the Hottest New Commodity for Brands and Businesses

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Had the severity grown to crisis levels, Lucas McDonald, a former TV weatherman who leads the chain's emergency operations, might have called in dozens of workers to support the handful who are posted at the division's command center in 24/7 shifts. The full-house team--typically assembled only a few times a year--would help coordinate relief efforts, adjust supply routes and disseminate information to affected stores, a playbook the company has perfected through two exceptionally hectic hurricane seasons. "Right now, we're having conversations with some of our merchants on when the right time to ship more supplies into places like Florida and the Southeast would be ahead of any possible redevelopment from Dorian after it makes its way through Hispaniola," McDonald says. Meanwhile, in Dallas, meteorologists at Southwest Airlines mapped out contingency plans for rerouting and canceling flights given various possible hurricane scenarios. And in the Atlanta nerve center of IBM-owned Weather Company, forecasters relayed storm data and analysis to corporate clients like State Farm, which in turn used it to inform IBM Watson conversational ad units that spread safety information.


GE Healthcare Receives FDA Clearance of First Artificial Intelligence Algorithms Embedded On-Device to Prioritize Critical Chest X-ray Review

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WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."


Edward Snowden: 'Greatest danger still lies ahead with refinement of AI'

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However, he argues, these are not enough to counter accelerating technological changes allowing greater intrusions of privacy and he calls for a worldwide protest movement, similar to those on climate change. He added: "You have to be ready to stand for something if you want it to change. "That is what I hope this book (Permanent Record) will help people come to decide for themselves." The revelation coincides with the GSMA's announcement that the AI market is projected to reach $70 billion by 2020.


Robot Wars and Skynet: Is Sci-Fi Becoming Our Reality?

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ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 1 My Interest In Robotics And Nanotechnology, US Military UAVs/Drones And Robotic Vehicles, The Civilian Casualties Controversy, DARPA, The Darpa Urban Challenge, Roboticist William L. Whittaker, The Lunar X Prize Competition, The Positive And Negative Contributions Of Modern Technology, Wicked Heart Of Man, George W. Bush And Illegal Invasion Of Iraq, Destruction Wrought In Iraq, Americans And Body Bags, American Casualties From The Iraq War, DARPA's Aim: Protect People On The Battlefield, Remote Killing And Robots On The Battlefield Are The Wave Of The Future, Masters Of Science Fiction: Jerry Was A Man, Future Wars Fought with Automated Machines, Secret Robot Wars With No More Accountability To The Public, Callous American Public, America Was Founded On War, America Survives And Expands Her Empire Through War And Shrewd Economic Policies, Government Propaganda Machines And Malleable Gullible Public, Shock And Awe Wars, Are AI-Enabled Robot Wars In Our Future?, Current Advancements In Robotics, "Terminator" Movies And SkyNet, Will Artificial Intelligence Become A Threat?, Huge Investment in AI By The U.S. Military, The Joint Artificial Intelligence Center And Super Soldiers, Warnings From Stephen Hawking And Elon Musk, Go Down Fighting ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 2


Attack on Saudi oil sites raises risks amid U.S.-Iran tensions; Mike Pompeo already blames Tehran

The Japan Times

DUBAI, UNITED ARAB EMIRATES – A weekend drone attack on Saudi Arabia that cut into global energy supplies and halved the kingdom's oil production threatened Sunday to fuel a regional crisis, as Iran denied U.S. allegations it launched the assault and tensions remained high over Tehran's collapsing nuclear deal. Iran called the U.S. claims "maximum lies," while a commander in its paramilitary Revolutionary Guard reiterated its forces could strike U.S. military bases across the Mideast with their arsenal of ballistic missiles. A prominent U.S. senator suggested striking Iranian oil refineries in response to the assault, claimed by Yemen's Iran-backed Houthi rebels, on Saudi Arabia's largest oil processing facility. "Because of the tension and sensitive situation, our region is like a powder keg," warned Guard Brig. "When these contacts come too close, when forces come into contact with one another, it is possible a conflict happens because of a misunderstanding."


New AI Model Shortens Drug Discovery to Days, Not Years

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Biotechnology, pharmaceutical, and life sciences industries are where applied artificial intelligence (AI) can greatly accelerate innovation and shorten the product development life-cycle. Developing a drug typically takes 10 to 15 years on average, with only approximately 12 percent of drugs in clinical trials ultimately gaining U.S. Food and Drug Administration (FDA) approval. In an AI milestone in life sciences, Insilico Medicine announced a new machine learning tool for drug discovery that can generate a novel molecule in days instead of years and published their findings in Nature Biotechnology on September 2, 2019. Insilico Medicine is a venture-backed start-up with multiple investors that include WuXi AppTec, Juvenescence, Peter Diamandis' BOLD Capital Partners, and Pavilion Capital. Led by CEO and Founder Alex Zhavoronkov, the company's mission is to extend longevity by applied AI solutions for drug discovery and aging research.


New AI Model Shortens Drug Discovery to Days, Not Years

#artificialintelligence

Biotechnology, pharmaceutical, and life sciences industries are where applied artificial intelligence (AI) can greatly accelerate innovation and shorten the product development life-cycle. Developing a drug typically takes 10 to 15 years on average, with only approximately 12 percent of drugs in clinical trials ultimately gaining U.S. Food and Drug Administration (FDA) approval. In an AI milestone in life sciences, Insilico Medicine announced a new machine learning tool for drug discovery that can generate a novel molecule in days instead of years and published their findings in Nature Biotechnology on September 2, 2019. Insilico Medicine is a venture-backed start-up with multiple investors that include WuXi AppTec, Juvenescence, Peter Diamandis' BOLD Capital Partners, and Pavilion Capital. Led by CEO and Founder Alex Zhavoronkov, the company's mission is to extend longevity by applied AI solutions for drug discovery and aging research.


Artificial Intelligence Powered X-Rays? -- AI Daily - Artificial Intelligence News

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These research-based efforts were seen earlier last week, as a brand new'artificial intelligence powered X-ray device' that GE Healthcare claimed could reduce the time interval in detecting a collapsed lung by a staggering factor of 32, from 8 hours to 15 minutes, was cleared by the Food and Drug Administration (FDA). GE Healthcare CEO Kieran Murphy, in an interview with CNBC, said, "The health-care industry is producing huge amounts of data from images to digital health records, we strongly believe that you have to turn that data into information and insight to improve outcomes." The device, coined the'Critical Care Suite', utilizes artificial intelligence-based algorithms to scan X-ray images and detect cases of collapsed lung. One can only assume that deep learning algorithms are put in use to identify trends and patterns in the data sets that Kieran Murphy mentions, and is assessed in its efficacy to spot recurrent themes in a new sample of data. When the AI system has reason to suspect any condition, the scan is sent off to a radiologist as a confirming measure, and as such this is another example of AI-assisted healthcare, not AI-led, as is the reasonable role of artificial intelligence given its youth in the healthcare industry.