The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The landscape of technology is in a perpetual state of ...

Use of CT is proven to save lives in patients eligible for lung cancer screening, which includes most patients with COPD, said Barr, professor of medicine and epidemiology at Columbia University ...

By applying machine learning to vast TESS datasets, researchers have built one of the most precise catalogs of nearby exoplanets to date.

Completes end-to-end AI intelligence workflow product with an advanced AI decision tool that clearly defines drug target discovery and clinical trial strategies to build diversified, risk-balanced R&D ...

Today's nearly $70 billion U.S. biofuels economy is powered by two technology toolboxes. Biochemical technologies—used to produce around 17 billion gallons of ethanol annually—leverage microorganisms ...

Eight startups across Australia and New Zealand raised $373.3 million this week, led by Halter, alongside SQC, Cauldron and ...

For people with an addiction, craving—the strong desire for a substance—can affect their decision-making, new research shows.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...