For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

is a major transcriptional activator in the core gene expression network of animal cells. "By understanding fundamental processes such as cancer development and metastasis, tissue differentiation from ...

Kanter. "In artificial neural networks, each object needs its own output unit to be recognized, whereas the brain can use one neuronal output, where its activity as a function of time differentiates ...

This message comes to life across every touchpoint—from the AI technologies powering its flagship products, to immersive ...

To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...

A team of researchers from APL and the Johns Hopkins Bloomberg School of Public Health is developing next-generation brain ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

That’s why University at Buffalo researchers are taking inspiration from the human brain to develop computing architecture ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

The Australian-developed machine, a biocomputer marketed for research purposes, uses living neural tissue integrated with ...

Although we know sleep is essential to our physical and mental well-being, it remains an incredibly enigmatic behavior, ...