Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Stanford Researchers Tackle Cardiac Arrhythmia Detection with Machine Learning

July 12, 2017

Using machine learning techniques Stanford University researchers reported developing an algorithm for identifying cardiac arrhythmias that performs as well or Read more…

By John Russell

DARPA Selects Five Teams for Neural Engineering Program

July 10, 2017

Interfacing directly with the human neural system to promote health and expand human capacities is an ongoing goal in brain research. Today, the Defense Advance Read more…

By HPCwire Staff

More Bad News for Gamblers – AI Wins…Again

March 6, 2017

AI-based poker playing programs have been upping the ante for lowly humans. Notably several algorithms from Carnegie Mellon University (e.g. Libratus, Claudico, Read more…

By John Russell

Secretive AI Startup Pioneers Artificial Imagination

May 26, 2016

In the influx of deep learning startups, one stealth mode venture, Vicarious, has already made something of a name for itself. As reported in MIT Technology Re Read more…

By Tiffany Trader

GPU-based Deep Learning Enhances Drug Discovery Says Startup

May 26, 2016

Sifting the avalanche of life sciences (LS) data for insight is an interesting and important challenge. Many approaches are used with varying success. Recently, improved hardware – primarily GPU-based – and better neural networking schemes are bringing deep learning to the fore. Two recent papers report the use of deep neural networks is superior to typical machine learning (support vector machine model) in sieving LS data for drug discovery and personalized medicine purposes. Read more…

By John Russell

Beyond von Neumann, Neuromorphic Computing Steadily Advances

March 21, 2016

Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical. Read more…

By John Russell

Researchers Induce Virtual Schizophrenia

May 5, 2011

Researchers have replicated the language processing end of a mental illness using neural network simulations. Read more…

By Nicole Hemsoth

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