Princeton researchers, in collaboration with Analog Devices Inc., have fabricated a chip that markedly boosts the performance and efficiency of neural networks
—
computer algorithms modeled on the workings of the human brain. [28] "It will be interesting to see if this collection is used to train future generations of computer models," Sturm says. [27] Now, a team of A*STAR researchers and colleagues has developed a detector that can successfully pick out where human actions will occur in videos, in almost real-time. [26]  A team of researchers affiliated with several institutions in Germany and the U.S. has
 
developed a deep learning algorithm that can be used for motion capture of animals of any kind. [25] In 2016, when we inaugurated our new IBM Research lab in Johannesburg, we took on
 
this challenge and are reporting our first promising results at Health Day at the KDD
 
Data Science Conference in London this month. [24] The research group took advantage of a system at SLAC's Stanford Synchrotron Radiation
 
Lightsource (SSRL) that combines machine learning... 

http://www.thetechnocracy.com/2018/10/08/ai-abstract-series-e13-chip-up-ai-performance

AI Abstract Series E13 - Chip Up AI Performance

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AI Abstract Series E13 - Chip Up AI Performance

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