Computer simulations help materials scientists and biochemists study the motion of macromolecules, advancing the development ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

Because we believe the goal of a deep learning framework is to convert computation into useful intelligence, we have made performance a core pillar of Burn. We strive to achieve top efficiency by ...

The global climate is in an imbalance. Potential "tipping elements" include the Greenland ice sheet, coral reefs, and the ...

To understand the mantle—the largest layer of Earth’s rocky body—scientists drill deep cores out of the Earth. Scientists drilled the deepest core yet and recovered serpentinized peridotite ...

TL;DR: A wide range of free online courses from MIT are available to take on edX. There's a secret bank of free online courses from some of the most famous educational institutions in the world on edX ...

Institute of Theoretical and Computational Chemistry, State Key Laboratory of Coordination Chemistry, Key Laboratory of Mesoscopic Chemistry, School of Chemistry and Chemical Engineering, Nanjing ...

Yu, now an associate professor at the University of California, San Diego (UCSD), is a leader in a field known as “physics-guided deep learning,” having spent years incorporating our knowledge of ...

reinforcement learning, and reward modeling. At the heart of this innovation lies Deepseek GRM, an AI judge carefully designed to evaluate responses with unparalleled precision and adaptability.

Abstract: This paper introduces a full solution for decentralized routing in Low Earth Orbit Satellite Constellations (LSatCs) based on continual Deep Reinforcement Learning (DRL), specifically ...