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 ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

The government agency responsible for providing IT services, Shared Services Canada (SSC), confirmed in an email that it blocked the streaming sites on all networks it manages late last year.

There's intriguing advancements ahead in the future for PC gaming. In a recent blog post, Microsoft explained how the company is partnering with NVIDIA to support the latter's neural rendering ...

It is good practice to use encryption and avoid accessing sensitive information from a device using a public network to prevent malicious actors from stealing data. Public networks are open Internet ...

Cooperative Vector Support enables these AI tasks to be executed across different shader stages. For instance, it allows certain neural network operations to run in pixel shaders without fully ...

Many of today's technologies, from digital assistants like Siri and ChatGPT to medical imaging and self-driving cars, are powered by machine learning. However, the neural networks—computer ...

The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine learning algorithms and the spikes it produces are akin to the signals produced ...