Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning. These are brain-inspired computational models that can learn to complete various tasks ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

"It's literally going to feel like a sci-fi movie," Figure AI founder Brett Adcock says.

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

A new neural network system is helping scientists to identify meaningful patterns between gut bacteria, their metabolites and ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...