Science || Work by TILOS Foundations team member Mikahil Belkin and TILOS graduate students presents a unifying mathematical mechanism called Average Gradient Outer Product (AGOP) that characterizes feature learning in neural networks.
MIT Technology Review || An interview with TILOS Foundations team member Mikhail (Misha) Belkin about one of the biggest scientific puzzles of our time.
Notre Dame Observer || Professor Henrik Christensen speaks to the challenges and benefits of using automated vehicles for trips of short to moderate distance (zero to five miles), which account for a staggering 60% of all travel in the United States.
AI Magazine || Optimization is a universal quest, reflecting the basic human need todo better. Improved optimizations of energy-efficiency, safety, robustness, and other criteria in engineered systems would bring incalculable societal benefits. But, fundamental challenges of scale and complexity keep many such real-world optimization needs beyond reach. TILOS aims to overcome these challenges in three […]
National University News || Bridging mathematics and technology: National University’s mathematics department incorporates data science courses developed through TILOS into an updated Bachelor of Science degree program.
MIT News || Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Professor Belkin has been selected for contributions to modern machine learning theory and algorithms.
University Business || “The CHIPS ACT [is] a specific example of how we want to retake high-tech manufacturing and put it on American shores so that American workers benefit,” says Jodi Reeves, chair of National University’s Department of Data Science & Analytics. “That’s something that all educational institutions want to support.”
UT Austin ECE News || A group of Electric and Computer Engineering PhD students supervised by Chips team member David Z. Pan won first place in the 2023 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) FPGA Macro Placement Contest. Congratulations to Zhili Xiong, Rachel Selina Rajarathnam, Zhi-Xing Jiang, and Hanqing Zhu!
As of January 2024, TILOS Foundations team member Misha Belkin is the editor-in-chief of the Society for Industrial and Applied Mathematics (SIAM) Journal on Mathematics of Data Science (SIMODS), a leading journal on the foundations of data science.
