The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
The update introduces a robust ISO-compliant Face PAD Level 2 algorithm and adds flexible privacy workflows to ...
With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Abstract: The success of deep learning (DL) is often achieved at the expense of large model sizes and high computational complexity during both training and post-training inferences, making it ...
A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...
DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images
Introduction: Viral infections can cause pneumonia, which is difficult to diagnose using chest X-rays due to its similarities with other respiratory conditions. Current pneumonia diagnosis techniques ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Understanding molecular dynamics at the nanoscale remains challenging due to ...
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