Archive for the ‘Artificial intelligence’ Category

Alphabet subsidiary trained AI to predict wind output 36 hours in advance

February 27th, 2019
Wind turbines in Colorado.

Enlarge / Wind turbines have variable output, but if that can be forecast, that output is more valuable. (credit: Matthew Staver/Bloomberg via Getty Images)

Alphabet subsidiary DeepMind (it was acquired by Alphabet in 2014) has been developing artificial-intelligence programs since 2010 to solve complex problems. One of DeepMind's latest projects, according to a recent Google post, has centered around the predictability of wind power.

Those giant turbines you see along the highway only produce power when they're moving, and that poses a problem for the grid: in the absence of expensive energy storage, it's difficult to plan how much power those turbines will be able to provide.

That's not to say that wind-farm owners don't try to predict output. The industry has been using AI techniques for years to try to come closer and closer to real wind predictions.

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AI can diagnose some genetic disorders using photos of faces

January 11th, 2019
AI can diagnose some genetic disorders using photos of faces

Enlarge (credit: Monty Rakusen)

Genomes are so five minutes ago. Personalized medicine is all about phenomes now.

OK, that’s an exaggeration. But plenty of genetic disorders do result in distinctive facial phenotypes (Down syndrome is probably the best known example). Many of these disorders are quite rare and thus not easily recognized by clinicians. This lack of familiarity can cause the patients with the disorders (and their parents) to endure a long and traumatic diagnostic odyssey before they figure out what ails them. While they may be uncommon individually, in aggregate, these rare disorders are not that rare: they affect eight percent of the population.

FDNA is a genomics/AI company that aims to “capture, structure and analyze complex human physiological data to produce actionable genomic insights.” They’ve made a facial-image-analysis framework, called DeepGestalt, that can diagnose genetic conditions based on facial images with a higher accuracy than doctors can. Results are published in Nature Medicine.

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Posted in AI, Artificial intelligence, diagnostics, genetic disorders, science | Comments (0)

Move over AlphaGo: AlphaZero taught itself to play three different games

December 6th, 2018
Starting from random play and knowing just the game rules, AlphaZero defeated a world champion program in the games of Go, chess, and shoji (Japanese chess).

Enlarge / Starting from random play and knowing just the game rules, AlphaZero defeated a world champion program in the games of Go, chess, and shoji (Japanese chess). (credit: DeepMind Technologies, Ltd.)

Google's DeepMind—the group that brought you the champion game-playing AIs AlphaGo and AlphaGoZero—is back with a new, improved, and more-generalized version. Dubbed AlphaZero, this program taught itself to play three different board games (chess, Go, and shoji, a Japanese form of chess) in just three days, with no human intervention.

A paper describing the achievement was just published in Science. "Starting from totally random play, AlphaZero gradually learns what good play looks like and forms its own evaluations about the game," said Demis Hassabis, CEO and co-founder of DeepMind. "In that sense, it is free from the constraints of the way humans think about the game."

Chess has long been an ideal testing ground for game-playing computers and the development of AI. The very first chess computer program was written in the 1950s at Los Alamos National Laboratory, and in the late 1960s, Richard D. Greenblatt's Mac Hack IV program was the first to play in a human chess tournament—and to win against a human in tournament play. Many other computer chess programs followed, each a little better than the last, until IBM's Deep Blue computer defeated chess grand master Garry Kasparov in May 1997.

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Posted in AI, alphago, AlphaZero, Artificial intelligence, Computer science, deep learning, deepmind, game theory, gaming, Gaming & Culture, neural networks, reinforcement learning, science | Comments (0)

More than an auto-pilot, AI charts its course in aviation

December 5th, 2018
Boeing 787 Dreamliner.

Enlarge / Boeing 787 Dreamliner. (credit: Nicolas Economou/NurPhoto via Getty Images)

Welcome to Ars UNITE, our week-long virtual conference on the ways that innovation brings unusual pairings together. Each day this week from Wednesday through Friday, we're bringing you a pair of stories about facing the future. Today's focus is on AI in transportation—buckle up!

Ask anyone what they think of when the words "artificial intelligence" and aviation are combined, and it's likely the first things they'll mention are drones. But autonomous aircraft are only a fraction of the impact that advances in machine learning and other artificial intelligence (AI) technologies will have in aviation—the technologies' reach could encompass nearly every aspect of the industry. Aircraft manufacturers and airlines are investing significant resources in AI technologies in applications that span from the flightdeck to the customer's experience.

Automated systems have been part of commercial aviation for years. Thanks to the adoption of "fly-by-wire" controls and automated flight systems, machine learning and AI technology are moving into a crew-member role in the cockpit. Rather than simply reducing the workload on pilots, these systems are on the verge of becoming what amounts to another co-pilot. For example, systems originally developed for unmanned aerial vehicle (UAV) safety—such as Automatic Dependent Surveillance Broadcast (ADS-B) for traffic situational awareness—have migrated into manned aircraft cockpits. And emerging systems like the Maneuvering Characteristics Augmentation System (MCAS) are being developed to increase safety when there's a need to compensate for aircraft handling characteristics. They use sensor data to adjust the control surfaces of an aircraft automatically, based on flight conditions.

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Posted in AI, analytics, ars-unite-2018, Artificial intelligence, aviation, Biz & IT, civil aviation, Features, fly-by-wire, machine learning | Comments (0)

Elon Musk’s Dota 2 AI beats the professionals at their own game

August 14th, 2017

OpenAI takes on Dendi.

Last week was the high point of the Dota 2 competitive year: it was the week of The International, Valve’s biggest tournament. On Saturday, Team Liquid walked away with more than $10 million after defeating Newbee 3-0 in the grand final.

Right now, one of the requirements to be a good Dota 2 player is that you’ve got to be a living, breathing human. The game does include some basic computer-controlled bots to practice against, but any seasoned player of the game should have no trouble prevailing over these bots, even on their hardest “Unfair” difficulty (though the Unfair Viper bot is a legendary jerk that’s utterly miserable to play against). Last Friday, however, we got a hint of a new, altogether more threatening kind of computer-controlled player: an AI-controlled bot built by Elon Musk’s OpenAI. The OpenAI bot took on a number of professional players and it crushed them.

The OpenAI bot can’t play the full game of Dota 2. It can play only one hero, Shadow Fiend, of the game’s 113 playable characters (with two more coming later this year); it can only play against Shadow Fiend; and rather than playing in five-on-five matches, it plays a very narrow subset of the game: one-on-one solo matches.

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Posted in Artificial intelligence, dota 2, Gaming & Culture, Tech | Comments (0)

Microsoft Adding Artificial-Intelligence Based Advanced Antivirus to Windows 10

June 28th, 2017

Microsoft is making every effort to make its Windows operating system more secure and advanced than ever before by beefing up its security practices and hardening it against hackers and cyber attacks in its next release.

With the launch of its Windows 10 Creator Update (also known as RedStone 3), which is expected to release sometime between September and October 2017, Microsoft is planning

Posted in AI Technology, antivirus, antivirus software, Artificial intelligence, Best Antivirus, malware protection software, secure windows 10, Windows 10, windows 10 antivirus | Comments (0)

MWC: Completely superfluous ‘AI’ added to consumer items

February 28th, 2017

Manufacturers have moved on from just putting devices online, adding AI and machine learning to consumer items that would do perfectly well without them

Posted in AI, Artificial intelligence, Barcelona, IoT, machine learning, Mobile World Congress, MWC, Olay | Comments (0)

Artificial intelligence can be used to predict your death – but is it secure?

January 18th, 2017

Researchers say this is the first study to use AI to predict heart disease outcomes

Posted in AI, Artificial intelligence, heart failure, Imperial College London, MRI, Security threats | Comments (0)

Microsoft Shares Telemetry Data Collected from Windows 10 Users with 3rd-Party

November 24th, 2016

Cyber security is a major challenge in today’s world, as cyber attacks have become more automated and difficult to detect, where traditional cyber security practices and systems are no longer sufficient to protect businesses, governments, and other organizations.

In past few years, Artificial Intelligence and Machine Learning had made a name for itself in the field of cyber security, helping

Posted in Artificial intelligence, Download Windows 10, machine learning, Microsoft Windows 10, privacy software, Security software, Telemetry Data, Threat Exchange, threat intelligence, windows 10 privacy | Comments (0)

Let’s Welcome Ross – World’s First AI Lawyer

May 17th, 2016

By Agan Uzunovic

Lawyers tend to be much in demand nowadays, as they

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