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Intel, NSF Name Winners of Wireless Machine Learning Research Funding

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. Here are the […]

Bethany Goldblum from UC Berkeley to Receive James Corones Award

Bethany L. Goldblum, a nuclear scientist at the University of California, Berkeley, is the 2020 recipient of the Krell Institute’s James Corones Award in Leadership, Community Building and Communication. “Goldblum is a Department of Nuclear Engineering associate research engineer and executive director of the Nuclear Science and Security Consortium, a UC Berkeley-led collaboration of seven universities and five Department of Energy (DOE) national laboratories. The consortium, established with a $25 million grant from the DOE National Nuclear Security Administration (DOE NNSA), focuses on nuclear security and nonproliferation research and on training future nuclear experts. Goldblum was instrumental in the program’s renewal in 2016.”

Berkeley Engineers build World’s Fastest Optical Switch Arrays

Engineers at the University of California, Berkeley have built a new photonic switch that can control the direction of light passing through optical fibers faster and more efficiently than ever. This optical “traffic cop” could one day revolutionize how information travels through data centers and high-performance supercomputers that are used for artificial intelligence and other data-intensive applications.

Heroes of Deep Learning: Andrew Ng interviews Pieter Abbeel

In this video from the Heroes of Deep Learning series, Andrew Ng interviews Pieter Abbeel from UC Berkeley. “Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech and language processing. There are also significant efforts aimed at applying algorithmic advances to applied problems in a range of areas, including bioinformatics, networking and systems, search and information retrieval.”