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