Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

A shift from online advocacy to the classroom reveals why structure—not effort—often determines whether influence leads to meaningful learning and lasting change.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will revolutionize medicine, regulators are receiving a rising number of claims of patient ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...