Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

Gravity is usually presented as the most familiar of nature’s forces, the quiet background pull that keeps feet on sidewalks ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Explore what drives blockchain transaction fees lower and how cheaper fees impact adoption, DeFi, and network scalability.

Researchers from Carnegie Mellon University's College of Engineering have proposed a new photography method that eliminates the need to choose between focusing on the foreground, midground, ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Why use transfer learning on multi-fidelity data for surrogate models? Neural networks (NNs) are often used as surrogates or emulators of partial differential equations (PDEs) that describe the ...

ABSTRACT: Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most ...

Addressing a variety of questions within Earth science disciplines entails the inference of the spatiotemporal distribution of parameters of interest based on observations of related quantities. Such ...

"core_analysis": "The core challenge for mycelium to survive in space is the near-complete absence of atmosphere, the presence of extreme radiation, extreme temperature fluctuations, and lack of water ...