Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...

Discover the benefits of pairing OpenClaw and Hermes AI agents to reduce downtime, optimize costs, and build a reliable ...

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...

Learn how to set up OpenClaw as your autonomous AI employee. This 2026 tutorial covers local hosting, model selection, and ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

Abstract: Large Artificial Intelligence Models (LAMs) possess powerful learning capabilities and are regarded as key technologies for addressing communication challenges in the future sixth-generation ...

Abstract: This paper introduces a computational model of episodic memory that learns episodes in response to continuous sensory input. The proposed model utilizes a Hebbian based associative learning ...

“It’s like a paradigm shift approach… to drive discovery”: a new machine-learning model predicts how molecules will influence gene expression and has been used to pick out promising drug candidates ...