Intel, NSF invest in machine learning for wireless systems

The two organizations have joined efforts in the Machine Learning for Wireless Networking Systems (MLWiNS) program to support research that focuses on enabling ultra-dense wireless systems and architectures that meet the throughput, latency, security, and reliability requirements of future applications. At the same time, the program will also target research on distributed machine learning computations over wireless edge networks, to enable a broad range of new applications. "Since 2015, Intel and NSF have collectively contributed more than $30 million to support science and engineering research in emerging areas of technology." says Gabriela Cruz Thompson, director of university research and collaborations at Intel Labs. "MLWiNS is the next step in this collaboration and has the promise to enable future wireless systems that serve the world's rising demand for pervasive, intelligent devices." The program is aimed at addressing the increasing demand for advanced connected services and devices.