The tax landscape has shifted beneath our feet. What used to be manual reviews and random selections has morphed into ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

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, ...

Perfect Match is a student-developed matchmaking service for Cornell community members that matches participants with possible romantic partners for Valentine’s Day using machine learning algorithms.

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 ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.