During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

We asked experts for their best arguments in the long-standing debate over whether brains and computers process information the same way. It’s an analogy that goes back to the dawn of the computer era ...

The shoe box-sized device, dubbed CL1, is a notable departure from a conventional computer, and uses human brain cells to run fluid neural networks. In 2022, Cortical Labs made a big splash after ...

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are “super ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

The brain is powerful, and computers are powerful—why not harness their strength combined? Researchers at the University of Illinois (UIUC) have built a “living computer” using mouse brain cells in a ...

Scientists have developed a computer-based model that may explain how nerve cells become damaged in ALS, and how best to time ...

Engineers are using neural networks to accelerate predictions of how the microstructures of materials evolve. The machine-learning technique should speed the development of novel materials. The ...