Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

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 ...

Testing suggests Google’s AI Overviews tell millions of lies per hour

The Times conducted this analysis with the help of a startup called Oumi, which itself is deeply involved in developing AI ...
IEEE

A Hybrid Algorithm for AUV Obstacle Avoidance in Underwater Search and Rescue Mission

Abstract: Aiming at the characteristics of complex obstacles in underwater search and rescue (SAR) mission, we propose a hybrid path planning scheme to assist Autonomous Underwater Vehicle (AUV) in ...