Organizations were not built to absorb enterprise generative artificial intelligence. A 2025 MIT NANDA study found that just ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

Dylan Kane likes his math curriculum. But there’s one important piece missing, he says. The 7th grade math teacher in Leadville, Colo., uses a program that teaches math skills through real-world ...

And, with considerable assistance from AI tools, we’re seeing the emergence of companies like Pulse that are developing systems to provide real-time data flow, extensive and timely analysis and ...

PCWorld examines Phison’s aiDAPTIV technology, which partners with Intel to enable 26-billion-parameter AI models on laptops with just 16GB RAM instead of the typical 32GB requirement. The solution ...

Executive function describes a set of cognitive processes and mental skills that help an individual plan, monitor, and successfully execute their goals. The “executive functions,” as they’re known, ...

A study conducted by scientists from Carnegie Mellon, Oxford, MIT and UCLA found the technology can affect cognitive function and problem-solving abilities in a relatively short period. “We show that ...

AlphaProof Nexus combines LLM-driven proof generation with machine verification to crack open math research problems that have stumped mathematicians for decades. Google Deepmind's new framework ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Abstract: Bilevel optimization involves two levels of optimization, where one optimization problem is nested within the other. The structure of the problem often requires solving a large number of ...