Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.