Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

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 ...

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 ...

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

The patent filing covers a machine learning-based demand platform optimisation system designed to improve ad delivery ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...

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

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

Two newly discovered superconductors highlight the potential of machine learning to accelerate materials discovery.

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