6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.NE2020★ 6 cited
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems
Alexis Asseman, Nicolas Antoine, Ahmet S. Ozcan
Reinforcement learning augmented by the representational power of deep neural networks, has shown promising results on high-dimensional problems, such as game playing and robotic c…
cs.DC2020
Overview of the IBM Neural Computer Architecture
Pritish Narayanan, Charles E. Cox, Alexis Asseman +4
The IBM Neural Computer (INC) is a highly flexible, re-configurable parallel processing system that is intended as a research and development platform for emerging machine intellig…