The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Abstract— Over the last decade, the design of ultra-lowpower digital circuits in subthreshold regime has been driven by the quest for minimum energy per operation. In this contri...
David Bol, Renaud Ambroise, Denis Flandre, Jean-Di...
Application specific processors offer the potential of rapidly designed logic specifically constructed to meet the performance and area demands of the task at hand. Recently, t...
Interconnection networks have been deployed as the communication fabric in a wide range of parallel computer systems. With recent technological trends allowing growing quantities ...