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Intel, NSF Fund Research to Look into the Future of Wireless Systems

June 29, 2020 / Kelly Hill

Can artificial intelligence be trained to improve wireless network performance, classify emerging devices on a network, or conduct real-time machine learning at the network edge? Those are just a few of the concepts being explored in new research programs funded by Intel and the National Science Foundation with a specific focus on future wireless systems, the latest in a series of joint research funding efforts. Most of the 15 projects that are part of the Machine Learning for Wireless Networking Systems (MLWiNS) funding focus on the use of deep learning or neural networks, and range from explorations of AI and the role it could play in networks’ physical layer, to spectrum awareness, to how to train neural networks in a wireless environment. The program description for the funding said that researchers are “expected to identify realistic problems that can be best solved by ML and to address fundamental questions about expected improvements from using ML over model-based methods.”