We’ve often thought that it must be harder than ever to learn about computers. Every year, there’s more to learn, so instead of making the gentle slope from college mainframe, to Commodore 64, to IBM ...

Everyone learns differently, but cognitive research shows that you tend to remember things better if you use spaced repetition. That is, you learn something, then after a period, you are tested. If ...

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...

For six or seven decades, computers have been based on processing electronic 1s and 0s. Now, computer scientists are breaking out of that paradigm in strange new directions, as they seek new ways to ...

Overview: IBM has set a concrete deadline for quantum advantage, and IonQ already delivered a real-world win in ...

This article is part of a package on the future of quantum computing. Read about the most promising applications of these machines here and see an illustrated field guide to qubits here. Inside a ...

Contemporary artificial intelligence (AI) models often rely on deep learning 1,2, resulting in intense computational requirements that become increasingly difficult to fulfill with current technology.

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.