Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...

Looking to go beyond the usual blockbusters and find inventive, small-but-mighty science-fiction films with striking ideas, ...

AI models are good at finding answers to mathematical puzzles but are not as good at research judgment, according to ...

DualQuant from AI inference startup d-Matrix eliminates the dataset requirement that prior W4A4 methods rely on, matching ...

Researchers have developed a conformal calibration method that borrows statistical strength across sparse group-horizon cells ...

The session showed chemometrics revisiting its foundations. Whether by restoring human judgment, testing algorithms against ...

Why do quantum computers need tuning like a violin? Kai and Kristina Callaghan of Quantum Machines explain qubit calibration ...

A month after resolving one of the six biggest open problems in mathematics, the company says its new internal model has toppled heaps more—this time without the multimillion-dollar price tag ...

Near-infrared spectroscopy has quietly stopped being a niche calibration exercise and started acting like an autonomous ...

Algorithms are central to modern mathematics and computer science. They are explicit procedures valued for their clarity, efficiency and beauty. Beyond these fields, however, the word “algorithm” is ...

“It’s important for mathematicians, and for all researchers, to be involved in the conversations about the role of AI,” says Levon Nurbekyan, Emory assistant professor of mathematics. Photo courtesy ...

Robotic hand walking research from ETH Zurich’s Soft Robotics Lab teaches a five-finger hand to crawl across 14 different ...