Étiquette : artificial intelligence (Page 21 of 24)

24 janvier 2017 /

« October 30th, 2010 marks the day that my sister Amy and I founded Meta on a mission to unlock scientific knowledge and accelerate the pace of discovery. In six years, through the hands and minds of our talented team of engineers and scientists, we figured out how to use artificial intelligence to analyze new scientific knowledge as it’s published – along with the majority of what has been written, throughout modern history. Those efforts have led us to today.I am excited to announce that Meta will be joining the Chan Zuckerberg Initiative to bring what we have built to the entire scientific community, toward their goal to cure, prevent, or manage all diseases by the end of the century ».

Source : Meta – AI for Science

6 janvier 2017 /

Gu Li, as quoted by Hassabis, was a lot more philosophical about his loss to the new version of AlphaGo: « Together, humans and AI will soon uncover the deeper mysteries of Go. » Gu Li is referring to the fact that AlphaGo plays Go quite differently from humans, placing stones that completely confound human players at first—but upon further analysis these strategies become a « divine move. » While there’s almost no chance that a human will ever beat AlphaGo again, human players can still learn a lot about the game itself by watching the AI play.

Source : That mystery Go player crushing the world’s best online? It was AlphaGo again | Ars Technica

3 janvier 2017 /

While machine-learning technology can offer unexpected insights and new forms of convenience, we must address the current implications for communities that have less power, for those who aren’t dominant in elite Silicon Valley circles.Currently the loudest voices debating the potential dangers of superintelligence are affluent white men, and, perhaps for them, the biggest threat is the rise of an artificially intelligent apex predator.But for those who already face marginalization or bias, the threats are here.

Source : Artificial Intelligence’s White Guy Problem – The New York Times

3 janvier 2017 /

Here’s how it would work: Passengers would step up to the kiosk and be asked a series of questions such as, « Do you have fruits or vegetables in your luggage? » or « Are you carrying any weapons with you? » Eye-detection software and motion and pressure sensors would monitor the passengers as they answer the questions, looking for tell-tale physiological signs of lying or discomfort. The kiosk would also ask a series of innocuous questions to establish baseline measurements so people are just nervous about flying, for example, wouldn’t be unduly singled out.

Source : The lie-detecting security kiosk of the future

23 décembre 2016 /

Zuckerberg has always enjoyed what he calls the « deterministic » nature of engineering—the element of being able to sit down and build something that does exactly what you want it to do. For all the wildly ambitious things he can accomplish as the head of a company of more than 15,000 people that has billions of users across Messenger, WhatsApp, Instagram, and Facebook itself, he missed that pleasurable certainty.

Source : At Home With Mark Zuckerberg And Jarvis, The AI Assistant He Built For His Family | Fast Company | Business + Innovation

16 décembre 2016 /

Suleyman also argued that the kind of General AI we see in movies today probably won’t look anything like the general AI systems we will get decades from now. “When it comes to imagining what the future will be like, a lot of that is fun and entertaining, but it doesn’t bear a great deal of resemblance to the systems that we are building,” he said. “I can’t really think of a film that makes me think: yeah – AI looks like that.”

Source : DeepMind’s Mustafa Suleyman says general AI is still a long way off | TechCrunch

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