AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...

Semiconductor chips that process light rather than electricity could boost processing speeds and reduce energy use.

Scientists at Google DeepMind —the company’s artificial intelligence research arm—say they’ve created an A.I. tool that can ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...

How Seed Oils Became Controversial—And What the Science Really Says A food scientist debunks the vilification of seed oils on social media and explains what research says about them. Why flu cases are ...

In a new co-authored book, Professor and Chair of Psychology and Neuroscience Elizabeth A. Kensinger points out some surprising facts about how memories work Explaining the science behind memory and ...

In this account, ad­vanced by Thomas Philbeck and Nicholas Davis of the World Economic Forum, analog machines replaced human ...

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

Computer scientist Alan Turing first posed this question in his landmark 1950 paper, though he didn’t use the term artificial ...