As agentic AI automates the man-day billing model, the $300 billion outsourcing industry faces a brutal pivot.

NPR's Short Wave talks about babies' perceptions of rhythm, how sleep may help us solve puzzles and why snakes may be able to fast so long.

Existing diffusion-based methods for inverse problems sample from the posterior using score functions and accept the generated random samples as solutions. In applications that posterior mean is ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Rock the Country festival: Artists dropping out amid Kid Rock controversy Kristin Cavallari's strict 6-month dating rule she follows after past relationship mistakes Appeals court affirms Trump policy ...

AI is accelerating progress in almost every sector. But in the social sector, it’s exposing a gap. Despite playing a crucial role as the first line of defense for vulnerable communities, nonprofits ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

Surging Medicaid costs and dramatically shrinking federal aid are a recipe for fiscal crisis, state Comptroller Sean Scanlon warned Monday. And while Connecticut’s chief fiscal watchdog didn’t call ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...