Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

That one innovation — letting AI "pay attention" to all the words at once — transformed everything. It made models smarter, training faster, and scaling much, much bigger. Translation systems suddenly ...

Abstract: Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model ...

The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...

ST. PAUL, MN AND CHARLOTTE, NC / ACCESS Newswire / May 28, 2025 /3M (@3M) and Discovery Education (@DiscoveryEd) today ...

MITS ECE students create AI-powered skin disease detection system, honored by management for innovative achievement.

Ankit B. Goti, General Manager at HT Global Circuits, has forged a rare dual identity: seasoned manufacturing executive and forward-thinking artificial-intelligence researcher. Over the past decade he ...

The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

In computer vision, convolutional networks (CNNs) often adopts pooling to enlarge receptive field which has the advantage of low computational complexity. However, pooling can cause information loss ...