“This work is unique in its scale of assessment of food additives in a large number of study participants, and also puts added focus on the recognition by the International Agency for Research on ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Learn how Frank and Lillian Gilbreth’s management theory revolutionized workplace efficiency through motion study and standardization.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Scientists learn about the brain's inner workings by studying what animals or people do, how they move, react, and make choices. Behavior is complex, as animals and humans can move in countless ...

Anomaly detection within in situ observation data is essential for ensuring data quality and application reliability, especially under irregular sampling and multivariate conditions. However, most ...

Sovereign Control and Precision Intelligence Set to Lead Global Priorities Paris, France [October, 2025] – Novaspace’s 18th edition of the Earth Observation Data and Services Market report signals a ...

Stanford researchers placed this sample holder (approximately 1-inch diameter, bottom view) containing an anode after battery operation into the X-ray photoelectron spectroscopy tool for thorough ...

Earth observations are essential to understanding Earth systems and addressing global challenges. With associated data, repositories, and products, they drive innovation, support U.S. economic and ...

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.