Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

Karthik Sankaranarayanan trained in two quite different scientific subfields as a graduate student and as a postdoctoral ...

As entry-level tasks are automated, the focus of training will shift to judgment, simulation, and continuous upskilling.

Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers a step closer to useful applications ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

An Dang, Special to The Denisonian Denison will debut a new minor in machine learning and artificial intelligence next semester. This program is designed to give students in technical fields a ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study, the answer is much ...

Abstract: Amid the global push for sustainable development, rising market demands have necessitated a multiregional, multiobjective, and flexible production model. Against this backdrop, this article ...

In his new book, “A World Appears,” Michael Pollan argues that artificial intelligence can do many things—it just can’t be a ...

Abstract: Machine learning (ML) models were used to determine the moisture content (MC) for multiple grains and seeds after training on a large dataset obtained through several decades of research.