In our everyday life, we are surrounded by objects that have properties enabling them to perform certain functions. Rigidity ...

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 ...

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 ...

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 ...

The attentional blink selectively impairs one component of attention, and impacts both target detection and discrimination via separable neural signatures.

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