In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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 ...

The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...

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, ...

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

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.