Researchers at Princeton University have developed a hybrid biocomputing platform that combines living brain ...

Soft electrodes designed to perfectly match a person's brain surface may help advance neural interfaces for neurodegenerative disease monitoring and treatment, according to a new study led by Penn ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Researchers have sustained a three-dimensional network of neurons inside a flexible electronic chip for roughly six months, marking the longest and most detailed recording of its kind. The Nature ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages, reducing tracking errors.

AMD's just-released Ryzen 8040 series "Hawk Point" processors will have their included NPUs (Neural Processing Unit) receiving real-time monitoring inside of Windows Task Manager, according to AMD. In ...

The soft bioelectrodes use a honeycomb-inspired design that allows researchers to stretch them onto the specific geometry of a patient’s brain, without sacrificing structural strength or sensitivity ...