Stanford EE Computer Systems Colloquium

4:15PM, Wednesday, March 31, 2010
HP Auditorium, Gates Computer Science Building B01

Qualcomm R&D Project Neo - Biologically Inspired Machine Learning

Venkat Rangan
Qualcomm Incorporated
About the talk:

Raw computing power is predicted to reach the supposed computing capacity of the human brain in a few decades (the singularity). This doesn't mean we'll have a functional brain however!

How does the brain compute? What kinds of problems are best suited for such a device? What challenges will we face in creating a neuromorphic computer? Hardware, software and networking challenges will be briefly covered in this talk.


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About the speaker:

Venkat Rangan is a hardware engineer on the Neo project at Qualcomm Inc. His area of expertise is in board level design, digital systems, power supplies and analog design. In his past, Venkat has worked on various projects including the Globalstar user terminals, power supply design, emulation hardware and telecommunications system design. Outside work, Venkat plays tennis and is an avid do-it-yourselfer taking on projects from plumbing to gardening.

Contact information:

Venkat Rangan