But this is Hackaday, so we’re also going to dig into the guts of some AI chips, including the Kendryte ... as inputs for deeper layers in a neural network. Machine vision, and more specifically ...

we can keep the entirety of the neural network on die," he said. And so to avoid that cost of going into and out of memory, the Cornami chips arrange their circuits such that the compute elements ...

A tech firm has just demonstrated that a computer chip using light and the speed at which it moves for processing handles real-world AI tasks.

The shoe box-sized device, dubbed CL1, is a notable departure from a conventional computer, and uses human brain cells to run fluid neural networks ... power-hungry AI chips that require orders ...

Graph neural nets have grown in importance as a component of programs that use gen AI. For example, Google's DeepMind unit used graph nets extensively to make stunning breakthroughs in protein-folding ...

Examples like Intel's Loihi chips tend to get competitive performance ... on to the artificial neurons in the next layer of a neural network. These weights are a key feature of neural networks ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

Shanghai, China -- February 29, 2024 -- VeriSilicon (688521.SH) today announced that it has reached a milestone achievement with its Neural Network Processor (NPU) IP integrated into over 100 million ...

Neural networks have gone mainstream with a lot of heavy-duty — and heavy-weight — tools and libraries. What if you want to fit a network into a little computer? There’s tinn — the tiny ...