A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

ABI and scripting to the Wasm Component Model (WASI Preview 2). He shares how to build secure plugin systems that run at near ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

The understanding has sunk in that the winner in battle will be the one who holds the smartest model inside the missile’s head, and no less importantly, inside the commander’s observation tools.

Abstract: To address the limitations of slow convergence, low accuracy, and local optima entrapment in the Archimedes Optimization Algorithm (AOA), we propose a multi-strategy enhanced ...