“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. Abstract “Neural networks have become a ...

Raspberry Pi has started selling the AI HAT+ 2, an add-on board that represents a significant upgrade over the AI HAT+ model launched in 2024. While ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

At SIGGRAPH 2025 today, Arm pulled the wraps off Neural Super Sampling (NSS), its first AI-driven upscaling technology designed for mobile GPUs. It's the debut application of "Arm neural technology," ...

If you want to do a spot of homebrewed AI on your PC, be it just some generative image making for fun or more serious data research, then you've only got two options to do this: use a neural processor ...