The initiative aims to build "AI-ready learners" by introducing core problem-solving skills and digital literacy from an ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Big AI’s costs and restrictions, as well as its influence on hardware costs, are forcing users to build their own systems – just as rising regulation threatens to shut that ‘shadow AI economy’ down.

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

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The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Rapid technological advances are constantly changing our workplaces and the organization of work. Formerly established workflows and role descriptions give way to short-term, skills-based project ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Creating opportunities to talk about math builds understanding and strengthens language development for all students—and particularly English language learners. The National Council of Teachers of ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...