MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Tianwen-2 asteroid mission closes to within 20 kilometers of Kamoʻoalewa on July 4, 2026 — China‘s first sample-return probe ...

Abstract: In the digital era, effective Transaction Fraud Detection (TFD) is essential to ensuring financial security. The considerable class imbalance, with legitimate transactions vastly ...

Experts have accepted an estimate of around six million living insect species, an appraisal that has stood for the last 40 ...

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...

WASHINGTON — An environmental watchdog group claims that federal regulators used improper testing methods that may have downplayed the presence of toxic chemicals following the EPA’s response to the ...

The FDA is releasing data from a sampling assignment in 2025 that tested domestic and imported honey for economically motivated adulteration, also known as food fraud. Food fraud occurs when an ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

Dividends by the Numbers series tracked the US stock market's dividend metadata, which provided a simple, near real-time method of measuring the relative health of the US economy. We've opted to focus ...

Wearing silicone wristbands that absorb pollutants could help scientists monitor for chemicals in the air. Venier Lab Every morning, people fasten their watch, slip on a bracelet and head out the door ...