Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

Aya Takeoka at the RIKEN Center for Brain Science (CBS) in Japan and colleagues have discovered the neural circuitry in the spinal cord that allows brain-independent motor learning. Published in ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

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 ...

A single session of physical exercise can spawn a boost of neural activity in brain networks that underlie learning and ...

Our brains have an extraordinary ability to adapt and learn, a process known as neuroplasticity. From navigating a new city to mastering a new skill, neuroplasticity allows us to reshape our neural ...

The study, from MIT Lab scholars, measured the brain activity of subjects writing SAT essays with and without ChatGPT.