Zhishang Luo and fellow graduate student Jesse He, both of the Halıcıoğlu Data Science Institute at UC San Diego, have been awarded a 2024 Qualcomm Innovation Fellowship for their project Explainable Graph Learning for Property Prediction on Netlist Representations.
Professor Chung Graham joins a body of 2,617 active scientists who were elected by their peers to membership in the National Academy of Sciences for outstanding contributions to research.
Quanta Magazine || By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.
Yale News || TILOS Foundations team member Amin Karbasi and postdoctoral scholar Insu Han received a 2024 Roberts Innovation Fund Award for their research on making AI more powerful and cost effective.
AIthority || Considered the “black box” of machine learning, AI neural networks can expand the range of innovations and applications in different areas. AGOP is a unifying mathematical mechanism that establishes the core fundamentals explaining how neural networks learn from general machine learning models.
UC San Diego Today || The insights, published in the journal Science, can also be used to make other types of machine learning architectures more effective.
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 […]
