Biologically Inspired Machine Learning

(March 31, 2010) Venkat Rangan, a hardware engineer at Qualcomm Incorporated, discusses hardware, software, and networking challenges that humans will face in a creating a neuromorphic computer.

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Category:

Education

Tags:

• computer science
• technology
• electrical engineering
• research and development
• R&D
• machine learning
• software
• hardware
• networking
• brain
• computing power
• neuroscience
• neurons
• algorithms

[grunder20]

this can be very complicated

[agapitoflores001]

Nice new way of educating people. Especially for busy people.

[sidg11]

wow his guy must be the worlds worst speaker..

[polymath7]

@polymath7

*grad student

[polymath7]

@DraskyVanderhoff

Well, I think the pace at which content is presented is OK, but he mumbles almost as if to himself, and there are a few long, awkward pauses.

Also, if you're a grad in either the cognitive sciences or computer science, you're not really going to hear any ideas with which you're not already familiar.

[DraskyVanderhoff]

@polymath7 is too slow , i agree

[polymath7]

Not a bad talk, but this guy is a terrible speaker.