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

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, ...

On-screen Visual Intelligence: After taking a screenshot, users can analyze the on-screen content using Apple Intelligence and take actions, such as searching for similar products to purchase, adding ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...