Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Is the term Machine Intelligence going to take over the terms Artificial Intelligence and Machine Learning? This question was originally answered on Quora by Max Simkoff.

Machine Learning continues to transform the ways we live our lives and run our businesses. However, the meaning and implications of what machine learning is in 2017 are not fully understood by ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

The machine learning is more of a subset where it allows that artificial intelligence to learn, either being some way a supervised or unsupervised method. Toby Bordelon: Cool, thanks.

Unless you’ve been living under a rock, ignoring every big tech advance in the past decade, you’ve probably heard of machine learning. Whether it’s better fraud detection and prevention, the handy ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...

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 ...

Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works.

What can’t machine perception do? Machine perception is the capability of a computer to take in and process sensory information in a way that’s similar to how humans perceive the world.

Have you every wondered, "What is a virtual machine?" In these days of virtualization, the term is getting more common. Here's what it means.