New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

As algorithmic pricing becomes pervasive, algorithmic collusion poses antitrust risks. This article discusses possible remedies.

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Q4 2025 Earnings Call February 11, 2026 7:30 AM ESTCompany ParticipantsCiaran Potts - Head of Investor RelationsAnthony P. J.

Detecting hidden pollutants with real-time environmental sensors involves using IoT air-quality monitoring, photonic water sensing, and sensor-network-based hotspot mapping.

One is often told, “Idle hands are the work of the devil,” but boredom creates the mental gap that creativity and curiosity ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.