Nvidia DLSS 4.5 can now do up to 6x multi frame gen and brings a major boost to upscaling quality

Also new is dynamic frame gen, letting you only experience frame gen when needed, and you can apply these updates to old ...
Rock Paper Shotgun

Nvidia reveals DLSS 4.5 with anti-aliasing upgrades and a dynamic, if slightly mad, 6x frame gen mode

Its Super Resolution component is a second-generation upgrade to the 'Transformer' upscaling model introduced with DLSS 4, ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Learn With Jay on MSN

Neural networks explained: Forward and backward propagation simplified

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Learn With Jay on MSN

Backpropagation through time explained for RNNs

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...
IEEE

A Novel Method for Ridge Polynomial Neural Network-based Caputo Fractional-order Gradient Descent Algorithm

Ridge Polynomial neural network have been widely acknowledged for strong nonlinear mapping capability. Nevertheless, conventional training based on integer-order gradient methods often suffers from ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
IEEE

An Enhanced Diffractive Neural Network for Metasurface Holograms With High Resolution, Low Noise, and Uniform Intensity

Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...