Scientists may now be one step closer to understanding the inner logic of artificial intelligence (AI) models used for genomics thanks to a new tool from a group at Simons Center for Quantitative ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Harvard physicists have developed a simplified mathematical model to better understand how neural networks learn, likening the work to Kepler’s early laws of planetary motion. The model could help ...

Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also ...

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 ...

Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Type in a question to ChatGPT and an answer will materialise. Put a prompt into DALL-E 3 and an image will emerge. Click on TikTok’s “for you” page and you will be fed videos to your taste. Ask Siri ...