Neural interface technologies encompass a diverse array of devices and methods designed to record, stimulate or modulate the activity of the nervous system. By translating electrical, optical or ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they ...

EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, ...

The researchers’ device applies principles of neural networking to an optical framework. As a wave encoded with a PDE passes through the ONE’s series of components, its properties gradually shift and ...

Directions in the development of intracortical neural interface technology. Mux: multiplexer; Amp: amplifier; ADC: analog-to-digital converter; DBS: deep brain stimulation. A recent study published in ...

These multiple optical paths improve the system's ability to extract features from input data, offering a new way to optimize neural networks beyond just adding more layers or tweaking activation ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

A research team led by Sant'Anna School of Advanced Studies in Pisa, in collaboration with Cleveland Clinic, has uncovered new insight into how the brain senses movement. Their findings, published in ...