Abstract: Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim ...

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, ...

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.

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 ...

Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories.

Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...