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Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.
Photonics is gaining momentum as a platform for high-speed AI computing. Researchers in Singapore have demonstrated a passive, ultrafast, and integration-ready all-optical nonlinear activation ...
The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...
The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...
An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's electrical activity. It provides a real-time readout of brain "waves"—rhythms ...
A new bioengineered neuronal circuit board "BioConNet" allows scientists to artificially engineer human brain-like wiring at scale and can be used to engineer any possible circuit. The fully ...
The phrase "neurons that fire together, wire together" describes the neural plasticity seen in human brains, but neurons grown in a dish don't seem to follow these rules. Neurons that are cultured ...
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