AI

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Stanford University (Stanford, CA ) researchers have developed a deep-learning algorithm that can evaluate chest X-ray images for signs of disease at a level exceeding practicing radiologists. Designed "to overcome limits of human perception and avoid errors," the algorithm can diagnose up to 14 types of medical conditions. Further, say the researchers, it is able to diagnose pneumonia - which is especially difficult to spot on X-rays - better than expert radiologists working alone.

Algorithm beats radiologists in diagnosing x-rays | Smart2.0

Google's (Mountain View, CA) AlphaZero artificial intelligence (AI) program has achieved within 24 hours a "superhuman level" of play in the game of chess within hours of teaching itself the game from scratch, knowing only the game rules. The algorithm was tested against Stockfish 8 , an open source computer chess engine considered to be among the strongest available. In a paper on the research, Google's DeepMind division reported that in 100 games played against Stockfish 8, AlphaZero won or drew all of them.

Self-taught Google AI achieves 'superhuman' chess proficiency in hours | Smart2.0

Developers are working on tools that can help spot suspect stories and call them out, but it may be the beginning of an automated arms race.

Can AI Win the War Against Fake News? - MIT Technology Review

The AI Powered Equity ETF AIEQ, -0.94% an exchange-traded fund that uses artificial intelligence technology to select the stocks it holds, has emerged as one of the most successful new funds of the year, proving so popular with investors that it has stunned its own (human) creators. “We were absolutely surprised by the degree of interest,” said Art Armador, co-founder of EquBot LLC, which sponsored the fund. “We launched with $2.5 million in assets and were hoping to get to $40 million by the end of the year. Instead, we got that within the first week and now we’re north of $70 million. It blew our minds.”

This artificial intelligence ETF is one of the most popular fund launches of 2017 - MarketWatch

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Graphics processing units have found an important life beyond videogames as an accelerator for artificial intelligence, but they could soon share that spotlight with other groupings of silicon. Nvidia Corp. NVDA, -2.44%  investors especially should pay close attention to this battle, as that stock has experienced the biggest AI-influenced bump, though Advanced Micro Devices Inc. AMD, -0.30%  could also be affected. Both stocks dropped Tuesday after Susquehanna Financial Group analyst Chris Rolland wrote that there may be a better semiconductor for AI processing. “2017 was the year of Artificial Intelligence GPU but might 2018 be the year of the ASIC?” Rolland wrote in his note on Tuesday. as the No. 1 theme of 2018 in the semiconductor sector.

A warning to Nvidia and AMD: GPUs may not hold AI chip crown forever - MarketWatch

What’s changed is a growing belief among some investors that AI could be a unique opportunity to create significant new semiconductor companies. Venture capitalists have invested $113 million in AI-focused chip startups this year—almost three times as much as in all of 2015, according to data from PitchBook, a service that tracks private company transactions.

The Race to Power AI’s Silicon Brains - MIT Technology Review