How Machine Learning Is Revolutionizing the Search for Advanced Material Structures Princeton researchers introduce a machine learning tool promises to supercharge the pace at which scientists can identify the most promising metal organic frameworks (MOFs), these materials with the p... carbon capture chemical engineering energy storage machine learning materials science MOFs Princeton research tools
AI Is Transforming the Hunt for Supernovae in a Noisy Universe Finding a supernova, one of the cosmos’s most awe-inspiring explosions, has historically been a daunting task. Traditional searches have been likened to hunting for a needle in a cosmic haystack, with... AI tools astronomy astrophysics automation data analysis machine learning sky surveys supernovae
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods