Nvidia shows neural compression can cut VRAM usage from 6.5GB to 970MB

In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...

NVIDIA Neural Rendering Reduces VRAM From 6.5GB to 970MB Without Losing Detail

NVIDIA shows neural rendering cuts VRAM use, reduces game storage, and improves performance without changing visual quality ...
DualShockers

Where to Use Access Clearance Codes in Marathon

Shane Limbaugh (He/Him) is a Contributor from the US. While he hasn't been writing about games for very long he has certainly been playing them. His degree in Game Design and Criticism let him better ...
GitHub

Neural Pupil Engineering for off-axis Fourier Ptychography

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...
Phys.org

Scientists use string theory to crack the code of natural networks

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...
IEEE

Pattern Recognition Using Artificial Neural Networks: A Didactic Study Using MATLAB Simulation

Abstract: The study presents the application of Artificial Neural Networks (ANNs) for pattern recognition, modeling, and analyzing their performance using MATLAB. Two neural architectures are compared ...
TechCrunch

Cyber giant F5 Networks says government hackers had ‘long-term’ access to its systems, stole code and customer data

Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed them to steal the company’s source code and customer information. In a ...
GitHub

EEG-Depression-Classification-HybridSNN-LSTM

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.