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IBM: games, A.I. & the future of cognitive computing

Published on Mar 7, 2016

Developing AI programs to master board games drove progress in the field — including advances in techniques for search algorithms and evaluation functions. However, research in such “clean” game domains did not really address most real-life tasks that have a "messy" nature. Real-world tasks typically pose additional challenges, such as ambiguous, hidden or missing data, and "non-stationarity," meaning that the task can change unexpectedly over time. IBM is now turning our attention to solving these real-world challenges.

IBM Research scientists Murray Campbell, Gerry Tesauro, and Eric Brown discuss "Extending Game-Based AI Research into the Wild.

"Extending Game-Based AI Research into the Wild"

by Steve Hamm
March 7, 2016
 

IBM cognitive storage

Published on Apr 4, 2016

In a new paper appearing today in the IEEE journal Computer, IBM scientists Giovanni Cherubini, Jens Jelitto and Vinodh Venkatesan unveil their cognitive storage concept, which isn’t available yet, but could be very soon.

The idea is based on a metric they call data value, which is akin to determining the value of a rare piece of art — the higher demand and the rarer the piece typically translates to a highly sought after work of art, which also requires more security to protect it.
 
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