Intel's new AI compression tech can significantly shrink game texture sizes and reduce VRAM use

TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
PCMag

Nvidia, Intel Texture Compression Techs Cut VRAM Use Dramatically

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

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 ...
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 ...
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 ...
Reuters

US warns that hackers using F5 devices to target government networks

WASHINGTON, Oct 15 (Reuters) - U.S. government officials said on Wednesday that federal networks are being targeted by an unidentified "nation-state cyber threat actor" that's trying to exploit ...
IEEE

Implementation of hyperbolic tangent function in neural network using Matlab HDL coder for Biosignals

Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
Phys.org

Self-learning neural network cracks iconic black holes

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...