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

Modeling Human Driver Behavior During Highway Merging Using the Communication - Enabled Interaction Framework

Abstract: Understanding how human drivers handle inter-actions with each other can aid the development of automated vehicles capable of operating in mixed traffic. Interactions between human drivers ...
IEEE

Fast Digital Circuit Synthesis Framework Based on Deep Reinforcement Learning Using Scoreboard

Abstract: In a field of circuit design that uses deep learning such as layout optimization, parameter optimization, and circuit synthesis automation, the proposed framework, fast-GateRL, addresses the ...
InfoWorld

Spring AI tutorial: How to develop AI agents with Spring

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.