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 ...
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Magnetic coil setup guides microrobots without seeing them

SMU researchers have created an electromagnetic coil system that can control microrobots without requiring continuous visual ...

Ollama adopts MLX for faster AI performance on Apple silicon Macs

This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama ...
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New method predicts the success of LLMs on untried tasks with high accuracy

A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial ...