AI - Artificial Intelligence at the University

arXiv.org is an open source repository of scholarly articles relating to many fields, including Computer Science and Statistical Analysis.

Artificial Intelligence - The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty.

Applied Artificial Intelligence aims to address concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about multidisciplinary impacts of AI research based on novel methods, techniques, and frameworks.

Journal of experimental & theoretical artificial intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research.

AI For Libraries, Archives, and Museums (AI4LAM): https://sites.google.com/view/ai4lam

International Federation of Library Associations and Institutions (IFLA) AI Special Interest Group: https://www.ifla.org/units/ai/

American Libraries Association (ALA) Future Trends: https://www.ala.org/future/trends/artificialintelligence

Library and Information Technology Association (LITA) Interest Groups: https://connect.ala.org/lita/communities/all-lita-groups/lita-interest-groups

International Federation of Library Associations and Institutions (IFLA) AI Group: https://www.ifla.org/units/ai/

The Batch: https://www.deeplearning.ai/the-batch/

Podcasts:

• The Retort is a podcast providing updates and summaries of AI developments. https://retortai.com/
• The New York Times 'Hard Fork' podcast often has news and explainers related to AI topics. https://www.nytimes.com/column/hard-fork
• Dwarkesh Patel podcast has interviews with tech industry experts: https://www.youtube.com/c/DwarkeshPatel

Blogs:

• The AI Tool Report: https://aitoolreport.beehiiv.com/
• The Rundown AI: https://www.therundown.ai/
• Agile Learning: https://derekbruff.org/category/edtech/
• One Useful Thing: https://www.oneusefulthing.org/
• SemiAnalysis: https://semianalysis.com/

YouTube:

• 3Blue1Brown: Known for visually intuitive explanations of complex mathematical concepts, 3Blue1Brown provides foundational insights that are valuable for understanding the mathematical underpinnings of AI and machine learning.

• Asianometry: This channel explores the history and technological developments in Asia, including discussions on semiconductor technology and innovation, which are crucial for the hardware that powers AI and machine learning systems.

• CodeEmporium: CodeEmporium covers a wide range of AI and machine learning topics, including neural networks and computer vision, with hands-on coding tutorials.

• Hugging Face: Hugging Face's channel focuses on tutorials and updates related to their popular NLP and machine learning libraries, making it an excellent resource for learning how to implement AI models in practical applications.

• Khan Academy: While not exclusively focused on AI, Khan Academy offers a range of courses on computer science and mathematics that provide a solid foundation for understanding AI concepts.

• Lex Fridman: Lex Fridman's podcast features interviews with AI researchers, engineers, and industry leaders, offering deep insights into the latest developments and ethical considerations in AI.

• Numberphile: By delving into fascinating mathematical concepts and puzzles, Numberphile indirectly supports AI learning by enhancing problem-solving skills and mathematical thinking, essential for algorithm development.

• Sentdex: Sentdex provides practical tutorials on machine learning and data science using Python, with projects ranging from stock price prediction to reinforcement learning.

• Siraj Raval: Siraj Raval's channel features engaging tutorials and discussions on various AI topics, ranging from deep learning to blockchain applications, with a focus on making complex topics accessible to beginners.

• StatQuest with Josh Starmer: This channel breaks down complex statistical and machine learning concepts into easy-to-understand lessons, making it a great resource for learners at all levels.

• The AI Hacker: This channel provides insights into building AI models, data science projects, and the latest trends in AI research, catering to both beginners and advanced learners.

• Tokenized AI: This channel focuses on the intersection of blockchain and AI, offering insights into how machine learning models can be integrated with decentralized technologies.

• Tunadorable: While primarily an art and creativity-focused channel, Tunadorable occasionally explores how AI can be used in creative processes, providing a unique perspective on machine learning applications in art.

• Two Minute Papers: Known for concise and accessible summaries of the latest AI research papers, Two Minute Papers is a great resource for staying updated with cutting-edge developments in the field of machine learning.

• Yannic Kilcher: Yannic Kilcher's channel offers in-depth analyses and explanations of recent AI research, making it a valuable source for those looking to deepen their understanding of machine learning technologies and their implications.