This study presents a comprehensive deep learning framework that significantly advances personalized learning technologies, particularly its focus on intelligent systems and human-centered computing, ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Discover how AI and Deep Learning are revolutionizing airport operations, from jet bridge autonomy to baggage classification, solving complex challenges with advanced technology. Many of us are ...
ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and ...
Abstract: Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten microns. ULM is ...
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...
Artificial intelligence is inescapable nowadays. There’s generative AI to create an ad and AI platforms to manage campaigns. Your refrigerator and maybe even your toothbrush have AI embedded in them.
ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
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