Artificial Intelligence Resources
Summary
AIResources.info, a Subject Tracer™ Information Blog by the Virtual Private Library™, compiles an extensive list of online resources related to artificial intelligence. Curated by Marcus P. Zillman, M.S., A.M.H.A., an Internet expert and author, this compilation includes links to AI experiments like 20Q.net, educational repositories, forums, research labs such as MIT AI Lab, and professional organizations like the American Association for Artificial Intelligence (AAAI). It also features resources on specific AI subfields, including neural networks (e.g., Encog, Neuroph), genetic algorithms, machine learning, computational geometry (CGAL), and natural language processing. The site aims to provide an ongoing, comprehensive listing of AI-related information, welcoming suggestions for additional sites.
Key takeaway
For AI Researchers and AI Engineers seeking a broad overview of the AI landscape, this compilation offers a valuable starting point for discovering foundational resources, academic institutions, and specialized tools. You should use this directory to quickly identify relevant communities, educational materials, and software development kits, saving time in your initial research phase.
Key insights
This resource provides a comprehensive, curated directory of artificial intelligence links and related topics.
Principles
- Curated lists enhance discoverability.
- Ongoing updates are crucial for dynamic fields.
In practice
- Explore AI forums for community insights.
- Consult university AI labs for research trends.
Topics
- Neural Networks
- Genetic Algorithms
- AI Research
- AI Development Tools
- Robotics
Best for: AI Researcher, AI Engineer, AI Student
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence Resources.