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.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

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

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, ...

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

The backyard pool has evolved from a simple summer luxury into a connected smart home ecosystem. In 2026, pool owners are ...

Tem has built a transaction engine that relies on AI to cut costs. Lightspeed led the round to help the startup expand to the U.S. and Australia.

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.

The world’s largest terrestrial biome is changing fast, so much so that Earth’s appearance from space will be subtly shifting in color. Faced with warming temperatures, boreal forests are gradually ...

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