News
2018 News Releases
Hardware-software co-design approach could make neural networks less power hungry
December 19, 2018
A team led by the University of California San Diego has developed a neuroinspired hardware-software co-design approach that could make neural network training more energy-efficient and faster. Their work could one day make it possible to train neural networks on low-power devices such as smartphones, laptops and embedded devices. Full Story
2018 Jacobs School highlights
December 18, 2018
A lot happened at the Jacobs School of Engineering this year. Revisit some of our key research wins from 2018 as we prepare for the challenges we'll solve next year. Full Story
$10M grant from NSF Establishes Center for Trustworthy Machine Learning
October 24, 2018
A team of U.S. computer scientists is receiving a $10 million grant from the National Science Foundation to make machine learning more secure. The grant establishes the Center for Trustworthy Machine Learning at a consortium of seven universities, including the University of California San Diego. Researchers will work together toward two goals: understanding the risks inherent to machine learning; and developing the tools, metrics and methods to manage and mitigate these risks. Full Story
Hadi Esmaeilzadeh Named Young Computer Architect for 2018
July 16, 2018
Associate Professor of Computer Science and Engineering Hadi Esmaeilzadeh has been named the IEEE Technical Committee on Computer Architecture’s “Young Computer Architect” for 2018, for his contributions to new computer architectures that underlie the growing success of artificial intelligence (AI) and machine learning applications.“Two things have propelled AI and machine learning to the next level. One has been the advances in the algorithms, but the second one has been the advances in the microarchitecture of processors,” Esmaeilzadeh explained. “The amount of computation that is required to actually get something decent done with AI algorithms is so massive that without proper support from the architecture of the processors, that level of performance would not be possible.” Full Story
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