Harvard researchers have mapped and cataloged more than 70,000 synaptic connections from about 2,000 rat neurons, using a ...

FPGAs, notable because they can be reprogrammed for new processing tasks, seem to have lost their luster in the mania around ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Nvidia’s Neural Texture Compression technology could be the answer to our VRAM woes, as it can help reduce the VRAM required ...

A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...