New photonic chips could improve autonomous driving technologies and enable robotic systems that learn through real-world ...

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

Nervous system functions, from motion to perception to cognition, depend on the active zones of neural circuit connections (synapses) sending out the right amount of their chemical signals at the ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making ...

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

When we form a memory, brain cells need to deliver supplies to strengthen specific neural connections. A new study from MPFI and Weill Cornell Medicine has revealed how two cellular switches, Rab4 and ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

A detail of a figure from the paper shows synapses formed between a neuron (above) and muscle (below) a narrow cleft. The distinct T-bar shape indicates an active zone. In the upper image, the synapse ...