How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much time passes between rewards is also important. Understanding this process has ...

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

AI is denying patient care faster than any human can review it. Here are the governance questions insurers, providers, ...

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

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 ...

Online algorithms are taking advantage of the male loneliness epidemic—here's what it's doing to men's brains.

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

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 ...