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πŸ‘οΈ AI Computer Vision: Promise, Peril, and Policy

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Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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AI computer vision, a field enabling machines to interpret visual data. They explain its evolution from academic concept to a transformative force, powered primarily by deep learning architectures like Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs). The text details various key capabilities, such as image classification and object detection, and illustrates their widespread cross-industry applications in healthcare, automotive, retail, and environmental monitoring. Furthermore, the sources critically analyze the technical limitations and profound ethical implications, including algorithmic bias and privacy concerns, while also forecasting future trajectories like generative vision and multimodal intelligence that could lead to augmented reality as the next dominant computing interface.

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123 episodes

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Manage episode 492953707 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

AI computer vision, a field enabling machines to interpret visual data. They explain its evolution from academic concept to a transformative force, powered primarily by deep learning architectures like Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs). The text details various key capabilities, such as image classification and object detection, and illustrates their widespread cross-industry applications in healthcare, automotive, retail, and environmental monitoring. Furthermore, the sources critically analyze the technical limitations and profound ethical implications, including algorithmic bias and privacy concerns, while also forecasting future trajectories like generative vision and multimodal intelligence that could lead to augmented reality as the next dominant computing interface.

  continue reading

123 episodes

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