Hosted on MSN

AI model simulates molecular dynamics without built-in physics

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...
Hosted on MSN

AI model simulates molecules accurately without built-in physics

Researchers from BIFOLD and Google DeepMind have created MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without embedding physical laws like energy ...
IEEE

Data-Driven Model-Free Optimal Cooperative Control of Multi-Agent Systems

Abstract: This paper introduces an innovative methodology based on data-driven for addressing collaborative control in multi-agent systems. A nonparametric representation model of the considered ...
IEEE

Improved Mathematical Model-Based System For Classifying Gestures Using Wearable Sensor Data

The rapid development of wearable equipment has altered the way they observe and corresponds with the physical surroundings [1]. Wearable sensors, which are included in devices including fitness ...