National University Announces Seven New Career-Relevant Programs for Knowledge Economy and Business Professionals
National University News || TILOS faculty help San Diego-based National University establish seven new career-relevant programs.
What Graph Models, a Branch of Machine Learning, Like to Learn
Forbes || TILOS Foundations team member Stefanie Jegelka of MIT on graph models for machine learning.
In Race for AI Chips, Google DeepMind Uses AI to Design Specialized Semiconductors
Wall Street Journal || TILOS Chips team co-lead David Z. Pan of UT Austin is interviewed for the Wall Street Journal.
New Robot Hand Works by Feel, Not Sight
Scientific American || TILOS Robotics team member Xiaolong Wang’s (UC San Diego) work on robotic hand control based on “touch dexterity” instead of sight is featured in Scientific American.
More Details, but Not Enough
Communications of the ACM || Andrew Kahng of UC San Diego weighs in on reinforcement learning for chip placement.
AutoDMP Optimizes Macro Placement for Chip Design with AI and GPUs
NVIDIA Developer || TILOS provides the benchmark for NVIDIA AutoDMP.
For “spirit of innovation,” three from Penn named National Academy of Inventors Fellows
Penn Today || Vijay Kumar of the School of Engineering and Applied Science and Katalin Karikó and Drew Weissman of the Perelman School of Medicine were honored with the recognition.
UC San Diego Computer Scientist Honored for Excellence in Semiconductor Design Research
TILOS Networks team member Tajana Šimunić Rosing of UC San Diego, a leading researcher in accelerating big data in hardware using both novel machine learning techniques, such as hyperdimensional computing, and in- and near-memory and storage processing, will receive the 2022 University Research Award from the Semiconductor Industry Association (SIA) and the Semiconductor Research Corporation […]
TILOS Foundations team member Fan Chung Graham elected a 2022 Fellow of the Network Science Society
Professor Graham was elected for her foundational contributions to the combinatorics of random graphs and networks.