A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the classic algorithm taught in textbooks.

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, leading to more robust and accurate problem-solving.

Emily Scherer has been teaching fifth-grade English in Newport, Vermont, for nearly a decade. In this remote, poor corner of ...

New laptop, pouch for the school's phone prohibition, and (hopefully) ample AI literacy. Whether students like it or not, AI ...

Adams Diversified Equity Fund serves as a strong example of a growth income source different from covered calls income funds.

Requirement: A statement that identifies a product or process operational, functional, or design characteristic or constraint ...

Middle Coast Investing had a solid Q3, powered by four buyouts of portfolio companies and strong performance from several ...

A rising tide lifts all boats. Adam Parkhurst discusses how to create a culture of improved standards in your fire department ...

Safety aside, when restaurants ask employees to wear specific garments for aesthetic reasons (such as fine dining servers ...

Apple and Samsung are betting that slim phone designs will attract customers looking for something different. Here's how their phones stack up next to each other.

When Hoda Kotb left the Today show in January, she said she wanted to “try something new.” Less than a year later, she’s ...

Shop the best early Prime Day tech deals, from AirPods Pro 2 (the best earbuds!) and the Oura Ring 3 at a record-low price to the editor-loved Samsung Frame.