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 ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Deep Learning for Computer Vision is a community-driven open-source initiative designed to create an accessible, structured, and comprehensive resource for students, researchers, and practitioners ...

According to Sawyer Merritt on Twitter, Tesla is hosting 'The Future of Autonomy Visualized' event in Miami, highlighting their advanced AI system, Tesla Vision. The event will provide an in-depth ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

Abstract: In this paper, we propose a novel approach to minimize the inference delay in semantic segmentation using split learning (SL), tailored to the needs of real-time computer vision (CV) ...

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...

Consider all the activities in metal fabrication that require visual inspection and counting. A person inspects a blank for distortion and edge defects and, if needed, sends it to a deburring machine ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...