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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 #377 · 08/19/2024, 07:04 AM

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MIT CSAIL Unveils Groundbreaking AI Risk Repository MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has launched its first-ever AI Risk Repository, setting a new standard for understanding and managing AI risks. This comprehensive database, encompassing over 700 identified risks from 43 existing frameworks, is poised to become an essential tool for stakeholders across the AI ecosystem. The AI Risk Repository is divided into three key components: ✅ AI Risk Database - a detailed compilation of risks, complete with references. ✅ Causal Taxonomy of AI Risks - an analytical framework that explains how, when, and why these risks manifest. ✅ Domain Taxonomy of AI Risks - categorizes these risks into seven domains and 23 subdomains. This repository offers an invaluable resource for researchers, developers, policymakers, and regulators, providing a unified reference point for identifying, analyzing, and mitigating AI-related risks. #AIandLaw#AIrisks#MITCSAIL#AIregulation#ResponsibleAI

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