When it comes to the future of graphics, Nvidia continues to run one step ahead of what's being used in the industry. The updated Zorah tech demo made on the RTX Unreal Engine 5 branch showcases the ...

AI-generated avatars are increasingly used to deliver science content on platforms like TikTok, raising questions about how ...

A new study published in the European Journal of Neuroscience has found that certain personality traits associated with the ...

NUS researchers have shown that a single transistor can replicate both neural and synaptic behaviors, marking a significant ...

In AI, especially with deep learning models, neural networks, or machine learning algorithms, “black box” systems have become a concern because they lack interpretability. This opaqueness ...

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 ...

emissions leveraging AI neural networks. In her latest peer-reviewed research, Kannan outlines how strategic deployment of intelligent algorithms can reduce environmental impact and enhance ...

Key considerations include: Scale-up design of GPU interconnects inside an AI host or rack Scale-out network design, including bandwidth per GPU and topology Configuration of network load ...

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

Agent networks represent the next stage in AI evolution. These networks involve multiple AI "agents" that work in tandem to perform complex tasks. Each agent specializes in different functions ...