Consumer trust in AI is now critical to success. As many as 95% of executives we spoke to said it will define the performance ...
Real-time collaboration between people and AI is emerging as a critical driver of faster, higher-quality business innovation.
Abstract: The proposal of deep learning (DL) solutions for synthetic aperture radar (SAR) image despeckling has recently widespread. Such solutions have been mainly designed from a DL perspective by ...
Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
InterDigital has announced the acquisition of Deep Render. London-based AI startup Deep Render has been acquired by InterDigital inc. in a move designed to drive the company’s AI-native video research ...
Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...
Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...