Cornell & NTT’s Physical Neural Networks: a “Radical Alternative for Implementing Deep Neural Networks” That Enables Arbitrary Physical Systems Training
A team from Cornell University and NTT Research proposes Physical Neural Networks (PNNs), a universal framework that leverages a backpropagation algorithm to train arbitrary, real physical systems to execute deep neural networks.