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

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

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

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

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

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

The Real Academia de Ingeniería, Spain's Royal Academy of Engineering and the country's national academy in the field, has ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

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

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...