New Research: In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory: In-memory computing based on non-volatile resistive memory can significantly improve the energy efficiency of artificial neural… https://t.co/nH2KG
RT @asalleo: Here's an example of using organic artificial synapses for in-situ parallel training of a neural network, great work led by Yi…
Here's an example of using organic artificial synapses for in-situ parallel training of a neural network, great work led by Yiyang Li (now at Michigan) collaborating with @a_melianas in my group. https://t.co/MJ4S08DDJA
Fun to work on hardware learning , like back in grad school days : ) using #polmyer #memristive synapses: https://t.co/Qu9mpnA3VR ; #Electrochemical #nonvolatile memory has great metrics [linearity/symmetry ] for fully featured edge learning and/or infer