Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

If you go to ChatGPT.com, choose the o4-mini model from the drop-down menu and enter a prompt, you’ll see a message you’ve probably never seen before. “Thinking,” the chatbot responds as several ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--ReviveMed, an MIT spinout at the forefront of artificial intelligence and precision medicine, today announced the release of a new preprint on bioRxiv describing ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

A new study argues that traditional teaching methods are no longer sufficient, calling for a fundamental redesign of how ...

Learn how generative AI works for startups in India, from LLMs and tokens to real use cases, costs, and India-specific AI ...