Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Researchers have discovered two new superconductors using a machine learning-based screening method, demonstrating a ...

The next 18 months could demand pricing decisions in conditions many executives have never run a business through.

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Researchers link climate events to regional economic outputExtreme heat waves and droughts are increasingly threatening economic growth across the European Union, with the agricultural sector in ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Kiran Veernapu has spent more than 25 years building the data systems that large organizations rely on to make decisions. His ...

The Blackstone president and his wife are funding a new Penn institute that uses AI and biomarkers to intercept hereditary cancers at their earliest stages.