Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

Harvard University physicists have created a simplified mathematical model to study how neural networks learn, using statistical physics to uncover underlying patterns. The approach, likened to early ...

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

Researchers have created a 3D programmable device merging living neurons with flexible electronics, achieving high-efficiency ...

The brain is not a random collection of neurons. Across species, evolution has preserved key hierarchical architectural features, including modular organization, characterized by patches of densely ...

Physicists at Harvard University have developed a simplified, physics-inspired mathematical model to better understand how neural networks learn, potentially explaining why large AI systems often ...

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 ...

People with post-traumatic stress disorder (PTSD) experience traumatic memories differently than other types of negative memories. A recent Nature Neuroscience study investigates the neural patterns ...