Now the question is how to speed up this whole process. But it isn’t a straightforward engineering challenge. Neural networking itself is in a state of almost constant flux and development, which ...

Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Spiking Neural Networks Place Data In Time How efficiently can we mimic biological spiking process of neurons and synapses, and is CMOS a good choice for neural networks? Spiking Neural Networks: ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

A new neural network process has designed wireless chips that can outperform existing ones. This convolutional neural network analyzes the desired chip properties then designs backward. Much of AI ...

But neural networks have a big problem: they're really complicated. They're so complex, in fact, that researchers have often struggled to explain precisely why they make specific decisions.