Scientists at UCSF combined advanced brain-network modeling, genetics, and imaging to reveal how tau protein travels through ...

"We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network architecture and training ...

Various generative AI models, including transformer-based models, GANs, and diffusion models, are trained through different processes involving large-scale data, neural networks, and methods like ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Their new diffusion model, dubbed GameNGen, is based on Stable Diffusion's open-source version 1.4 and was trained on 900 million frames taken from existing Doom gaming footage.

Stable Diffusion (from Stability AI) and Imagen, both released in 2022, used variations of an architecture called a convolutional neural network (CNN), which is good at analysing grid-like data ...

More information: Omid G. Sani et al, Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks, Nature Neuroscience (2024). DOI: 10.1038 ...