Yann LeCun, Meta’s Chief AI Scientist and a Turing Award-winning deep learning pioneer, is preparing to leave Meta to start ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to ...

Abstract: We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only ...

Abstract: Over the past few decades, convolutional neural network (CNN) has found broad applications in image recognition. Nevertheless, the operational environment of CNN is facing significant ...

Advanced audio denoising system using a Convolutional Neural Network (CNN) with a U-Net architecture and a ResNet101 backbone. This system effectively removes background noises from audio recordings, ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

1 Department of Qunli Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China 2 Department of Ultrasound, Jilin Cancer Hospital, Changchun, Jilin, China ...

Fox News Channel beat all broadcast networks in a key metric last week as CNN had its lowest-rated week of the year. Fox News averaged 2.7 million viewers during primetime on weekdays from May 26-30, ...