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Source channel @githubtrending · Post #14930 · Jul 8

#other This resource is a huge, well-organized collection of computer vision materials including books, courses, papers, software, datasets, tutorials, and tools. It covers everything from beginner to advanced topics like image processing, object detection, 3D vision, deep learning, and more. You can find free and paid courses from top universities, open-source libraries like OpenCV, pre-trained models, and datasets for practice. This helps you learn computer vision efficiently, find the right tools, and stay updated with the latest research and applications, saving you time and effort in your learning or project development. It’s great for students, researchers, and developers. https://github.com/jbhuang0604/awesome-computer-vision

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AI & Law

@ai_and_law · Post #746 · 01/20/2026, 08:04 AM

🇨🇦AI Defamation Risk: Canadian Artist Prepares Lawsuit After Google Error Canadian musician Ashley MacIsaac says a Google AI-generated summary falsely labeled him a convicted sex offender, leading a concert venue to cancel his show. MacIsaac told the Canadian Press he believes the system confused him with another individual in Canada who has similar charges, but the error directly cost him income and harmed his reputation. MacIsaac is now preparing to sue Google, arguing that the misinformation amounts to defamation and created real-world risks, including potential issues at border controls. He stated that AI companies must be held accountable for what their systems publish and what harms they can reasonably prevent, noting that he is unlikely to be the last person affected by such errors. The incident underscores how AI-generated summaries can produce high-impact false statements about individuals, with immediate legal, economic, and personal consequences, even when no human editorial judgment is involved. #AI#AIDefamation#Liability#GenerativeAI#ReputationRisk