Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In ...

Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...

Discover how DeepSeek 4 rivals closed-source AI in 2026 with open weights, reduced FLOPs, and advanced hardware validation on ...

Endocrine systems are defined by complex dynamic behaviours such as oscillations, delays, transient responses, and feedback regulation, all of which are ...

CAMBRIDGE, MA — Researchers from MIT and the University of Michigan have discovered a new way to drive chemical reactions that could generate a wide variety of compounds with desirable pharmaceutical ...