Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

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 ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

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’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

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 ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

The Mudra Link is dubbed as the first neural wristband that works with Android, macOS and Windows devices, and I got a chance to try it out at CES 2025 ahead of its release at the end of January.