A diagram from the patent depicting a system for quantitative measurement of texture attributes. Artificial intelligence—and its machine learning applications in particular—have been attracting the ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

A year and a half ago, I wrote that robotic process automation might not be smart enough to fuel your digital transformation. But I needn’t have worried; RPA vendors are increasingly combining the ...

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a complicated ...

Here's how it's related to artificial intelligence, how it works and why it matters. Read now Machine learning promises to help businesses automate processes and make smarter decisions based on the ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

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 ...