Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Abstract: Adversarial examples threaten the stability of Generative AI (GAI) in consumer electronics (CE), but existing attack strategies either rely solely on gradient information—yielding ...

Computing is hardly the only discipline in which AI has prompted a moment of reflection. Yet coding agents and app generators raise profound questions about the purpose of the field—and indeed, its ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

The recent surge in generative AI has introduced exciting possibilities for computational chemistry. Generative AI methods have made significant progress in sampling molecular structures across ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...

Conformational entropy associated with thermal vibrations plays fundamental roles in protein function, from ligand binding and catalysis to allosteric regulation. Cooper and Dryden first proposed ...

A computational approach by St. Jude Children's Research Hospital scientists promises to make designing T cell-based immunotherapies that target two cancer-related antigens at the same time far easier ...

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...

Prediction of metabolic engineering targets through mathematical modeling can reduce costs of strain development. Here, we developed a computational pipeline, ecFactory, designed to predict optimal ...