Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...

The term machine learning was first introduced by Arthur Samuel in 1959. Machine learning is a type of artificial intelligence that gives computers the ability to learn without being explicitly ...

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 ...

The 20th century turned out to be an era of exponential growth in the field of machine learning. The 3000-year-old ancient game of ‘Go’ that computer scientists predicted will take another decade to ...

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 ...

Apple may not be as flashy as other companies in adopting artificial intelligence features, nor does it have as much drama surrounding what it does. Still, the company already has a lot of smarts ...

YouTube, which is celebrating 20 years, is sharing its four "big bets" for 2025. AI is at the center of YouTube's goals, which include using machine learning to estimate a user's age. YouTube says TVs ...

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 ...

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 ...