Étiquette : deep learning (Page 10 of 11)

15 mars 2017 /

« Ingesting data, predicting trends, and suggesting solutions is almost perfectly suited to DeepMind’s neural network expertise. While the National Grid is surely aware of some potential optimisations, a more rigorous investigation by a DeepMind AI may uncover solutions that the grid’s human operators have never considered. One thing’s for certain: a system as large as the UK grid has millions of inefficiencies ».

Source : DeepMind in talks with National Grid to reduce UK energy use by 10% | Ars Technica UK

22 février 2017 /

edges2cats

The pix2pix model works by training on pairs of images such as building facade labels to building facades, and then attempts to generate the corresponding output image from any input image you give it. The idea is straight from the pix2pix paper, which is a good read.

Source : Image-to-Image Demo – Affine Layer

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

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

30 novembre 2016 /

To train Google’s artificial Q&A brain, Orr and company also use old news stories, where machines start to see how headlines serve as short summaries of the longer articles that follow. But for now, the company still needs its team of PhD linguists. They not only demonstrate sentence compression, but actually label parts of speech in ways that help neural nets understand how human language works. Spanning about 100 PhD linguists across the globe, the Pygmalion team produces what Orr calls “the gold data,” w

Source : Google’s Hand-fed AI Now Gives Answers, Not Just Search Results | WIRED

9 mai 2016 /

The agreement gives DeepMind access to a wide range of healthcare data on the 1.6 million patients who pass through three London hospitals run by the Royal Free NHS Trust – Barnet, Chase Farm and the Royal Free – each year. This will include information about people who are HIV-positive, for instance, as well as details of drug overdoses and abortions. The agreement also includes access to patient data from the last five years.

Source : Revealed: Google AI has access to huge haul of NHS patient data | New Scientist

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