There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of ...

One of the most challenging and revolutionary things artificial intelligence (AI) can do is speak, write, listen, and understand human language. Natural language processing (NLP) is a form of AI that ...

For a long time, artificial intelligence was a futuristic concept. But thankfully, the future is finally here. AI is all anyone can talk about. In fact, a study by the Pew Research Center shows that ...

Machine learning, for all its benevolent potential to detect cancers and create collision-proof self-driving cars, also threatens to upend our notions of what's visible and hidden. It can, for ...

Machine language is the fundamental standard for software compatibility, because it is the language the CPU understands. All programs presented to the computer for execution must be in the machine ...

AI is the big idea, and machine learning is the engine that powers it Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate ...

Computer systems are getting quite good at understanding what people say, but they also have some major weak spots. Among them is the fact that they have trouble with words that have multiple or ...

As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that ...

Instructions written in a programming language. Source code is the text that a programmer writes, but it is not directly executable by the computer. Source code must be converted into machine language ...

Posts from this author will be added to your daily email digest and your homepage feed. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. You might remember a ...

Artificial intelligence (AI) has become a foundational technology across countless industries, but the question of when machine-learning (ML) inventions are patent-eligible remains a nebulous target.