A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular surface structure of "premelted" ice, resolving a long-standing mystery ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

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 ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...

Mitchell Hamline School of Law professor Gregory Duhl will begin teaching his "reimagined" contracts course this spring.

Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...