Dharmendra Modha

Dharmendra Modha

Dharmendra S. Modha is a manager and lead researcher of the Cognitive Computing group at IBM Almaden Research Center.[1][2] He is known for his pioneering works in Artificial Intelligence and Mind Simulation.[3] In November 2009, Modha announced at a supercomputing conference that his team had written a program that simulated a cat brain.[4] He is the recipient of multiple honors, including the Gordon Bell Prize, given each year to recognize outstanding achievement in high-performance computing applications.[5]

Contents

Personal life

Modha holds a B.Tech. in Computer Science and Engineering from IIT Mumbai, India and a Ph. D. in Electrical and Computer Engineering from UCSD. He is a UC San Diego graduate. He received his Ph.D. at the Jacobs School of Engineering in 1995 and is now manager of Cognitive Computing at IBM's Almaden Research Center and a Master Inventor. He is a Senior Member of IEEE and a member of AAAS, ACM, and SfN.[6][7]

Achievements

Modha is manager of the Cognitive Computing group at IBM's Almaden Research Center. He chaired IBM’s 2006 Almaden Institute on Cognitive Computing, co-chaired Cognitive Computing 2007 at Berkeley, CA, and was a speaker at the Decade of the Mind Symposium in May 2007. He is the Principal Investigator for DARPA SyNAPSE proposal that brought together IBM (Almaden, Watson, Zurich, India), Stanford University, University of Wisconsin-Madison, Cornell University, Columbia University, and University of California at Merced to embark upon the ambitious quest of cognitive computing to engineer intelligent business machines by reverse-engineering the computational function of the brain and delivering it in a small, energy efficient chip.[7][8] Over the last two decades, he has founded two start-up companies, been issued 26 U.S. patents and has authored over 40 publications in international journals and conferences.[7]

Prizes

  • He performed cortical simulations at scale of cat cerebral cortex (1 billion neurons, 10 trillion synapses) only 100x slower than real-time on a 147,456 processor BlueGene/P supercomputer. This work received ACM’s Gordon Bell Prize.
  • At IBM, he has won the Pat Goldberg Memorial Best Paper award, an Outstanding Innovation Award, an Outstanding Technical Achievement Award, and Communication Systems Best Paper Award.
  • He is currently an IBM Master Inventor.

References

External links


Wikimedia Foundation. 2010.

Игры ⚽ Нужна курсовая?

Look at other dictionaries:

  • Dharmendra Modha — Artificial Fiction Brain Dharmendra S. Modha (* 1969) ist Manager für Rechnerkognition (cognitive computing) am IBM Almaden Research Center. Außerdem lehrt er an der University of California in Berkeley. Er hat die Gehirnfunktionen einer Maus… …   Deutsch Wikipedia

  • Modha — Artificial Fiction Brain Dharmendra S. Modha ist Manager für Rechnerkognition (cognitive computing) am IBM Almaden Research Center. Außerdem lehrt er an der University of California in Berkeley. Er hat die Gehirnfunktionen einer Maus allerdings… …   Deutsch Wikipedia

  • Liste der Biografien/Mo–Moj — Biografien: A B C D E F G H I J K L M N O P Q …   Deutsch Wikipedia

  • Page replacement algorithm — This article is about algorithms specific to paging. For outline of general cache algorithms (e.g. processor, disk, database, web), see Cache algorithms. In a computer operating system that uses paging for virtual memory management, page… …   Wikipedia

  • Clock with Adaptive Replacement — (CAR) is a page replacement algorithm, which combines Adaptive Replacement Cache (ARC) and CLOCK, and it has performance comparable to ARC, and substantially outperforms both LRU and CLOCK[1]. The algorithm CAR is self tuning and requires no user …   Wikipedia

  • Cache algorithms — This article is about general cache algorithms. For detailed algorithms specific to paging, see page replacement algorithm. For detailed algorithms specific to the cache between a CPU and RAM, see CPU cache. In computing, cache algorithms (also… …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”