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 ...
IEEE

Enhanced Student Placement Prediction and Skill Recommendation System using Convolutional Neural Network- Bidirectional Long Short-Term Memory with Attention Networks

Abstract: Predicting student placement results and proposing skills is crucial in education. Current systems frequently show imprecision and inadequately analyse sequential and contextual links among ...