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.

Thursday, 15 September 2016

Collective Knowledge summer digest is now available online


http://cknowledge.org/blog-2016-09-15-summer-CK-digest
Posted by Grigori Fursin at 06:12
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