15 citations · 37 across the 13 of their papers we have counts for
3 papers · 1 filter
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing
Vincent T. Lee, Armin Alaghi, John P. Hayes +2
Recent advances in neural networks (NNs) exhibit unprecedented success at transforming large, unstructured data streams into compact higher-level semantic information for tasks suc…
MATIC: Learning Around Errors for Efficient Low-Voltage Neural Network Accelerators
Sung Kim, Patrick Howe, Thierry Moreau +3
As a result of the increasing demand for deep neural network (DNN)-based services, efforts to develop dedicated hardware accelerators for DNNs are growing rapidly. However,while ac…
Exploring Computation-Communication Tradeoffs in Camera Systems
Amrita Mazumdar, Thierry Moreau, Sung Kim +5
Cameras are the defacto sensor. The growing demand for real-time and low-power computer vision, coupled with trends towards high-efficiency heterogeneous systems, has given rise to…