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 ...

Bill Whitaker is an award-winning journalist and 60 Minutes correspondent who has covered major news stories, domestically and across the globe, for more than four decades with CBS News. For decades, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This research presents a comprehensive framework for constructing and applying student portraits in personalized education through advanced data analytics and knowledge graph technology. The study ...

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...

Step by step tutorial on how to build a LEGO basketball arcade machine using standard bricks. This guide shows the full assembly process including the hoop, scoring area, and ball return system.

“Trauma-informed” teaching is a popular phrase in education circles, but what does it actually look like on the ground? Today, some educators share a practical perspective. Marie Moreno, Ed.D., is an ...

Our expert, award-winning staff selects the products we cover and rigorously researches and tests our top picks. If you buy through our links, we may get a commission. Pamela is a freelance food and ...

Scientists may have discovered a way to improve fusion reactors. Interesting Engineering reported on experiments inside a tokamak, a doughnut-shaped machine that contains plasma. Instead of only ...

RAILWAY AGE AUGUST 2025 ISSUE: Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The North American freight rail industry needs ...

Abstract: Existing machine learning (ML)-based inverse design methods for electromagnetic (EM) structures encounter two major challenges: impractical input requirements and nonuniqueness effects. This ...