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

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...

That ought to mean every Nvidia RTX owner's AI-powered gaming will get that bit smarter, clearer, and sharper as 2026 goes on ...

In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...

That high AI performance is powered by Ambarella’s proprietary, third-generation CVflow ® AI accelerator, with more than 2.5x ...

Abstract: Precisely identifying the severity of Alzheimer’s using MRI is crucial for enhancing diagnostic accuracy and improving patient care. This study presents a novel convolutional neural network ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

In this video, we will understand what is Stride in Convolutional Neural Network. While performing Convolution operation on ...

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...

In this video, we will understand what is Fully Connected Layer in CNN and what is the purpose of using Fully Connected Layer ...

In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...