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Dharmendra S. Modha

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Evolution of Cognitive Computing

August 18, 2011 By dmodha

2006:              
Almaden Institute

2007:              
“Mouse”-scale simulations
Talk Video: Cognitive Computing Talk at UC Berkeley 
Talk Video: Cognitive Computing Talk at Decade of the Mind Symposium
“Rat”-scale simulations

2008:              
DARPA SyNAPSE Phase 0

2009:              
Talk Video: IEEE 125th Anniversary 
“Cat”-scale simulations and ACM Gordon Bell Prize
DARPA SyNAPSE Phase 1

2010:              
“Network architecture of the long-distance pathways in the macaque brain”

2011:              
Cognitive Computing in Communications of the ACM
Talk Video: Cognitive Computing Keynote at DAC 
Chips and DARPA SyNAPSE Phase 2

Filed Under: Brain-inspired Computing

IBM’s SyNAPSE Website

August 18, 2011 By dmodha

http://www.ibm.com/synapse

Filed Under: Accomplishments, Brain-inspired Computing, Press

Video of Keynote at DAC 2011

August 17, 2011 By dmodha

Here is link to video of my recent keynote at the 2011 Design Automation Conference that summarizes the most recent progress.

Filed Under: Accomplishments, Brain-inspired Computing, Presentations

Dark Silicon

August 6, 2011 By dmodha

Recently, Hadi Esmaeilzadeh, Emily Blem, Renée St. Amant, Karthikeyan Sankaralingam, and Doug Burger, published a paper entitled "Dark Silicon and the End of Multicore Scaling".  Here is the associated article in New York Times that beautifully summarizes the issue:

"The problem is not that they cannot squeeze more transistors onto the chips — they surely can — but instead, like a city that cannot provide electricity for its entire streetlight system, that all those transistors could require too much power to run economically. They could overheat, too."

Filed Under: Brain-inspired Computing

Communications of the ACM

July 27, 2011 By dmodha

The August 2011 issue of the Communications of the ACM published our paper on Cognitive Computing.

Authors:
Dharmendra S. Modha
Rajagopal Ananthanarayanan
Steven K. Esser
Anthony Ndirango
Anthony J. Sherbondy
Raghavendra Singh

Abstract:
Unite neuroscience, supercomputing, and nanotechnology to discover, demonstrate, and deliver the brain’s core algorithms.

Filed Under: Accomplishments, Brain-inspired Computing, Papers

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