Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide ...

Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

In the digital age, government agencies are grappling with unprecedented volumes of data, presenting challenges in effectively managing, accessing and declassifying information. The State Department ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...