This repository provides a curated guide for individuals seeking to stay current with advancements in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. It serves as a centralized resource for discovering relevant communities, research papers, tools, company blogs, and educational content, aiming to combat knowledge obsolescence in these rapidly evolving fields.

How It Works

The guide aggregates links and resources across various categories, including local AI communities, academic pre-print servers (arXiv), paper-to-code discovery tools, news aggregators, influential YouTube channels, corporate research blogs, and podcasts. It emphasizes a multi-channel approach to information consumption, encouraging users to engage with both broad overviews and specialized content.

Quick Start & Requirements

No installation or specific software requirements are mentioned. The guide is a collection of links and information accessible via a web browser.

Highlighted Details

• Extensive lists of country-specific AI/ML communities and global online forums.
• Curated links to arXiv categories, paper-to-code tools (CatalyzeX, PapersWithCode), and news aggregators (Hacker News, Reddit).
• Recommendations for prominent YouTube channels, company research blogs (Google, OpenAI, DeepMind), and podcasts in the AI/ML space.
• Includes resources for both technical papers and broader AI news/discussions.

Maintenance & Community

The project is community-driven, with an explicit invitation for contributions to expand and update the guide. No specific maintainers, sponsorships, or community channels (like Discord/Slack) are listed.

Licensing & Compatibility

The repository's content is presented without an explicit license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The guide is explicitly stated as non-exhaustive and relies on community contributions for updates. The lack of formal maintenance or versioning means the timeliness and accuracy of listed resources may vary.