Intel, NSF Name Winners of Wireless Machine Learning Research Funding – IAM Network

Intel and the National Science Foundation (NSF), joint funders of the Machine Learning for Wireless Networking Systems (MLWiNS) program, today announced recipients of awards for research projects into ultra-dense wireless systems that deliver the throughput, latency and reliability requirements of future applications – including distributed machine learning computations over wireless edge networks. Institutions: University of Illinois Urbana-Champaign and University of Washington Project Leads: Pramod Viswanath (University of Illinois Urbana-Champaign) and Sewoong Oh (University of Washington) Project Description: This project will use deep learning applications in the physical layer of communications systems, which will enable researchers to: 1) study the operation of new neural-network based, nonlinear channel codes through jointly trained encoders and decoders, 2) integrate information-theory, which can reduce the number of parameters to be learned and improve the training efficiency of communication systems, to create non-linear codes in feedback channels, and 3) design a family of non-linear neural codes for interference networks.