AI User Groups
Many AI user groups, forums, and communities exist for enthusiasts, professionals, and researchers to discuss AI-related topics
User groups offer opportunities to network with AI enthusiasts, stay current on the latest AI trends, participate in discussions, work on collaborative projects, access resources, attend events, and more.
Many of these groups require active participation and some have specific criteria for joining in order to ensure meaningful discussions within the AI community. If you're looking to join AI user groups or forums, there are numerous options available that appeal to different levels of knowledge and interests.
These platforms can help you connect with like-minded individuals, learn new skills, and stay updated in the rapidly changing field of AI. If you're looking for a place to start, Reddit and Kaggle offer a mix of resources and community support that are beginner-friendly yet robust enough for advanced users.
The original AI community, the men who launched AI at Dartmouth College in 1956
Popular Communities
⚡ OpenAI Forum: The OpenAI Forum, from the creators of ChatGPT, is a new initiative that brings together domain experts and students to discuss and collaborate on the present and future of AI. The Forum features events such as in-person meet-ups highlighting technical talks, dinner-mixers at OpenAI, educational webinars and expert roundtable conversations, and plenty of opportunity for members (including OpenAI researchers) to network and cross pollinate ideas.
⚡ Google Cloud Community AI/ML: This community focuses on Google Cloud AI and ML products, covering topics like AutoML, Vertex AI, and AI Infrastructure. There are many other Google Cloud communities.
⚡ IBM Data Community: IBM Data Science Community offers a constant stream of freshly updated content including featured blogs and forums for discussion and collaboration. The community provides access to the latest white papers, webcasts, presentations, and research uniquely for members, by members.
Reddit AI Subreddits: Subreddits like learn machine learning and machine learning are highly active and provide resources, discussions, and Q&A opportunities for both beginners and professionals. These are great for staying updated and exchanging ideas.
Kaggle: This platform is ideal for hands-on learners. It hosts competitions and provides datasets, tutorials, and a community for data science and machine learning enthusiasts. Kaggle is one of the world's largest data science communities with powerful tools and resources. The community has around 3 million active members.
Hugging Face: Hugging Face's community on GitHub is known for its focus on natural language processing and AI tools. It is a hub for developers interested in deep learning and open-source AI projects.
Stack Overflow: Stack Overflow is an open community for anyone that codes, not exclusively for AI. The forum helps data scientists who code, to get the answer for their toughest data science questions and share knowledge with co-workers. Slack Overflow serves 100 million people every month making it one of the 50 most popular websites in the world.
AI Community Group: The AI Community Group addresses the pedagogical, ethical, and privacy aspects of generative AI in higher education, especially AI's impact on students, staff, and faculty.
Towards AI Community: This is a welcoming platform for sharing knowledge, collaborating on projects, and staying informed about the latest in AI research and trends.
All Tech Is Human: For those interested in ethical AI, this Slack group provides a space for discussions about responsible tech, mentorship opportunities, and collaboration across various disciplines.
Artificial Intelligence and Deep Learning: This group is active in sharing news, tutorials, and discussions, making it a good fit for casual learners and professionals alike.
AI Forum Hub: A platform designed to connect, collaborate and create in a respectful and productive environment. Here, you can access a diverse range of resources, share your knowledge, ask questions, and learn from others with varying perspectives.
Data Communities
Data Science Communities: These forums focus on collaborative learning and networking in data science and machine learning, making them great for career-focused discussions.
Data Community DC: Data Community DC is a non-profit 501(3)(c) organization committed to connecting and promoting the work of data professionals in the National Capital Region by fostering education, opportunity, and professional development through high-quality, community-driven events, resources, products and services.
Data Science Central: Data Science Central is the industry's online resource for data practitioners. It provides services starting from Statistics to Analytics, Machine Learning, Artificial Intelligence (AI) and Data Science Central. The platform gives a community experience that includes a rich editorial platform, social interaction, forum-based support, plus the latest information on technology, tools, trends, and careers.
Data Science Society: Data Science Society is an international digital community. The platform has been building a strong core of members digitally around a body of data science knowledge while having fun. So far, data science Society has organized multiple data science meetups and international datathons with attendees from more than 20 countries.