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OpenAI comes from industry experts who want to bring AI to the masses. It's linked to the non-profit research company OpenAI, co-chaired by Elon Musk and Sam Altman, and sponsored by companies such as Amazon Web Services, Microsoft, and Infosys who are trying to make AI accessible—hence the name. Contributors discuss their collective efforts to promote and advance AI technologies through long-term research. It’s a valuable resource for anyone interested in the future of AI.
Managed by: Shan Carter, Chris Olah, and Arvind Satyanarayan
Distill concentrates on making ML and AI more accessible for readers. Traditional research can be difficult to consume, so Distill communicates ML research in appealing, interactive data visualizations. It acts as a neutral platform for multiple authors to publish together, and articles are peer-reviewed, appearing in Google Scholar. Distill is also registered with the Library of Congress and CrossRef.
Machine Learning is Fun
Machine Learning is Fun
Machine Learning is Fun is a valuable, introductory blog. It covers the tenets of ML through interactive tutorials and practical examples, which make it easier to see the useful applications to different businesses and industries. Author Adam Geitgey is a former software developer who now consults organizations on implementing machine learning. He believes ML is integral to the future of software and that developers should have a strong working knowledge, so he provides guides and techniques to help them develop and grow.
Machine Learning Mastery
Machine Learning Mastery
A machine learning developer with several AI-related degrees, Jason intended his Machine Learning Mastery blog for new developers getting started in the field. He was once an amateur developer and wants to help others, imparting lessons learned during his professional journey and sharing the tools that helped him most. The blog, plus his email course and newsletter, accommodate any level of expertise.
The BAIR Blog
The BAIR Blog
The artificial intelligence research department at UC Berkeley created this blog to convey research findings and important information about their AI-related work. Covering a spectrum of research—from natural language processing to robotics—grad students and faculty contribute content for both experts and the general population to consume.
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