11 Aug '17, 4pm

IBM Deep Learning Breaks Through | EE Times

LAKE WALES, Fla. — IBM Research has reported an algorithmic breakthrough for deep learning that comes close to achieving the holy grail of ideal scaling efficiency: Its new distributed deep-learning (DDL) software enables a nearly linear speedup with each added processor (see figure). The development is intended to achieve similar speedups for each server added to IBM’s DDL algorithm. The aim “is to reduce the wait time associated with deep-learning training from days or hours to minutes or seconds,” according to IBM fellow and Think Blogger Hillery Hunter, director of the Accelerated Cognitive Infrastructure group at IBM Research. Hunter notes in a blog post on the development that “most popular deep-learning frameworks scale to multiple GPUs in a server, but not to multiple servers with GPUs.” The IBM team “wrote software and algorithms that automate and optimize the par...

Full article: http://www.eetimes.com/document.asp?doc_id=1332152

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IBM Deep Learning Breaks Through

eetimes.com 11 Aug '17, 3pm

LAKE WALES, Fla. — IBM Research has reported an algorithmic breakthrough for deep learning that comes close to achieving t...

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Rolex 116660 Sea Dweller Deep Sea.

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New Security Worry: DNA-borne Malware - EE Times

New Security Worry: DNA-borne Malware - EE Times

eetimes.com 16 Aug '17, 5am

Kohno emphasized that there are no known cases of hackers’ actually synthesizing malware DNA — yet. As the practice of seq...