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Jun 29, 2020

The cost of training machines is becoming a problem

Posted by in category: robotics/AI

For many comparatively simple ai applications, that means that the cost of training a computer is falling, says Christopher Manning, an associate director of the Institute for Human-Centered AI at the University of Stanford. But that is not true everywhere. A combination of ballooning complexity and competition means costs at the cutting edge are rising sharply.


Increased complexity and competition are part of it.

Technology Quarterly Jun 11th 2020 edition.

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