In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Many people don’t trust algorithms and machine learning because they don’t have a complete understanding of how they actually work. Let's break it down.

AI could learn to form digital cartels in an effort to maximize profits Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market ...

DeepMind and OpenAI took advantage of this to train a recurrent neural network to generate reinforcement-learning algorithms, which tell an AI how to behave to achieve given goals.

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Many of our current artificial intelligence (AI) systems are largely based on machine learning algorithms and deep neural networks, and are able to perform tasks like human beings would. In some ...

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.