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[AI Compute Symposium] Machine learning for real: Thinking more carefully about efficiency, loss functions, and GANs

October 13 @ 10:40 am - 11:15 am

Deep learning seems to touch every discipline these days, but behind its startling magic tricks, it is surprisingly primitive. It is concerning to note the extent to which today’s deep learning relies on folklore: on recipes and anecdotes, rather than on scientific principles and explanatory mathematics. Think of how much more trustworthy, robust, compact, and power-efficient our models would be if we designed them more rigorously. Our CEO Steve Teig’s assertions will be accompanied by some motivating (and occasionally humorous) examples.

For more information, please visit the AI Compute Symposium website.

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Details

Date:
October 13
Time:
10:40 am - 11:15 am
Website:
https://www.zurich.ibm.com/thinklab/AIcomputesymposium.html

Venue

IBM Yorktown THINKLab
1101 Kitchawan Rd
Yorktown Heights, 10598 United States
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