Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

More information: Katsuichiro Goda et al, Effect of calibration data on performance of tsunami early warning model, Coastal Engineering Journal (2025). DOI: 10.1080/21664250.2025.2516324 ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

A new study links urinary metabolites from organophosphorus pesticides to increased age-related macular degeneration risk.

Genesis AI, which aims to build a foundational model for powering all kinds of robots, has emerged from stealth with $105M in ...

Skywork continues to open-source the second-generation reward models - the Skywork-Reward-V2 series, comprising 8 reward ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...