Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in ...

Denver, USA - Newstartgsb Business School has announced the full integration of its proprietary AI quantitative ...

A screenshot from the new simulator that will be trialled for a special challenge at RoboCup2025.

This article proposes a framework for multiphysics modeling and co-simulation of electrified ships, aimed at system-level verification. The framework encompasses the development of dynamic time-domain ...

Hugging Face's $299 Reachy Mini leads a DIY robot revolution where open-source humanoids challenge expensive closed-source ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

Key Takeaways Python remains the most popular choice in robotics due to its simplicity and AI integration.C++ is essential ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...