AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

AI Speeds Astrophysics Image Analysis by 10,000x

September 3, 2017

Since their earliest days, humans have gazed with wonder upon the firmaments and sought to understand the secrets of the heavenly canopy. In the late 20th centu Read more…

By Tiffany Trader

Here’s What a Neural Net Looks Like On the Inside

February 15, 2017

Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept ma Read more…

By Alex Woodie

AI’s Forward March: Machine Teaches Itself to Play Chess in 72 Hours

September 23, 2015

The field of artificial intelligence has had a rocky history with numerous setbacks, but there have been high points too, like when IBM's Deep Blue beat reignin Read more…

By Tiffany Trader

IARPA Seeks Partners in Brain-Inspired AI Initiative

January 22, 2015

US intelligence officials have set in motion a five-year project to spark progress in machine learning by reverse-engineering the algorithms of the human brain. Read more…

By Tiffany Trader

Supercomputer Learns How to Recognize Cats

June 28, 2012

Google scientists build neural network with visual smarts. Read more…

By Robert Gelber

HPC Bests Physicians in Matching Heart Transplant Donors and Recipients

September 13, 2011

Health care analytics is an emerging application area that promises to help cut costs and provide better patient outcomes. To reach that goal though requires sophisticated software that can mimic some of the intelligence of real live physicians. In Sweden, researchers are attempting to do just that by building a model of heart-transplant recipients and donors to improve survival times. Read more…

By Michael Feldman

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