Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

A customizable KWS approach reduces resource demands and allows users to easily add their own keywords without machine ...

The NVIDIA Deep Learning Ambassador Workshop was held from June 17 to 24 at Sher-e-Kashmir University of Agricultural ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Using an innovative diagnostic method that could transform early detection, scientists at Zhejiang University achieved a ...

A novel screening method for Parkinson’s disease (PD) analyzes the volatile compounds in ear wax to detect early signs of the ...

Chinese researchers have developed a test that analyzes earwax to detect Parkinson's disease with 94.4% accuracy. Researchers ...

Nvidia's Transformer model for DLSS has exited the beta stage and will replace the CNN-based approach very soon with DLSS 4.

However, as spotted by Videocardz, the latest DLSS SDK 310.3.0 (software development kit) on GitHub highlights the fact that it's now out of beta. That doesn't mean Nvidia has stopped improving the ...