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

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 ...

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

Receiver function images of the lithospheric structure with seismicity and topography. (Miller et al., The Seismic Record, ...

Back in 79 AD, in the Romanian Herculaneum, a volcanic eruption struck the heart of Mount Vesuvius and presumed to have ...

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

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 ...

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