One type of neural net with rising popularity is the generative adversarial neural network, or GAN. GANs are another evolution of artificial intelligence, frequently used to alter or generate images.

CPUs are far too mathematical and logical. The neural processing unit (NPU), on the other hand, takes an entirely different approach: simulating the structure of the human brain in its very circuitry.

The 108 GB Zorah tech demo is available to download as part of the NVIDIA RTX Kit for developers here.It provides a look at the future of real-time graphics, helped out by DLSS 4's new transformer ...

During training, the neural network adjusts the weights of the synapses so that an input produces the desired output. Here, in more detail, is how the process works: The first layer of neurons ...

Fully Neural Rendering might well be a step too far. Instead, Nvidia may be preparing to hand over further elements of the rendering process to AI, perhaps discrete elements of the 3D pipeline.

I am looking for graduate students to join my new lab at MIT CSAIL in July 2022. If you are excited about neural implicit representations, neural rendering, neural scene representations, and their ...

Rosset's Clock. Join Our Community of Science Lovers! Sign Up for Our Free Daily Newsletter. Enter your email. I agree my information will be processed in accordance with the Scientific American ...

A computational framework for combining neural and behavioral data to infer latent dynamics underlying decision-making reveals distinct accumulation dynamics in different brain regions in the rat.

A neural network is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.

Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis.We present a novel deep learning-based neural speech ...

What is a Liquid Neural Network? A liquid neural network (LNN) is a time-continuous recurrent neural network built with a dynamic architecture of neurons.These neurons are able to process time-series ...