How to design content that AI systems prefer and promote

See how passage-level retrieval works and why answer-first, well-structured content is more likely to be surfaced and reused.

Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...