dividiti.com - co-designing most efficient SW/HW stacks for emerging AI/ML/quantum workloads

News from dividiti.com about automatically selecting, optimizing and co-designing most efficient software/hardware stacks for emerging AI, ML and quantum workloads in terms of speed, accuracy, energy, size and costs using our open-source Collective Knowledge technology. Read success stories from our partners about dramatically accelerating their Research and Development, while reducing its risk and costs.

Tuesday, 1 March 2016

Don't miss our Collective Knowledge talk and demos at DATE'16!

The program is available online (Wednesday, March 16, 2016):

http://www.date-conference.com/conference/session/8.2

Posted by Grigori Fursin at 14:43
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