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 ...

Using computational approaches such as machine learning, scientists can use this data to train models to predict a specific output based on a given set of inputs -- for example, whether a vaccine will ...

The National Academies will convene a committee to organize a workshop on navigating the benefits and biosecurity risks of communicating studies involving the use of computational modeling and ...

Discover how Dr. Ohmini Krishnamurthy Rajendran, an Indian physician-scientist, is revolutionizing precision oncology. Her ...

Immune-mediated diseases, including cancer and viral infections, continue to pose major global health challenges despite ...

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, ...

As data centers and crypto-mining facilities expand to handle growing digital demands, keeping massive banks of servers cool ...

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

The Kimi K3 model exposes the hidden costs of open weights AI. Chinese models lag OpenAI by 6 to 7 months as scaling hurdles ...