Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Samsung AI Research Team Builds A Tiny Model With Big Power

Samsung’s AI lab in Montreal new Tiny Recursive Model with only 7M parameters performs as well, if not better in some ...
Decrypt

AI Is Learning to Lie for Social Media Likes

AI now drives nearly all social media feeds, shaping what users see, share, and believe—raising new risks for truth and trust ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
InfoQ

Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning

Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...
Hackaday

Where Is Mathematics Going? Large Language Models And Lean Proof Assistant

If you’re a hacker you may well have a passing interest in math, and if you have an interest in math you might like to hear ...