When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that ...

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

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

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

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 ...

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, ...

“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 ...

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

LAUSANNE, Switzerland--(BUSINESS WIRE)--Neural Concept, the leading Engineering Intelligence platform that transforms product design with 3D Deep Learning, has announced that it has raised $27 million ...

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 ...