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Podcasts, Blogs, and Beyond- Diverse AI Voices You Should be Following now

Writer: Claire BradyClaire Brady

Updated: Nov 19, 2023

This is the fifth post in my Blog series focused on embracing Chat GPT and other AI tools.


If you're interested in AI tools, there are several key influencers and sources that can provide valuable insights, updates, and discussions in the field. Here are some influential figures, organizations, and platforms you might consider following:


Dave Birss:

LinkedIn Learning's most popular AI instructor. His courses are short and offer great examples. His prompt formula is a game-changer.


Andrew Ng:

Andrew Ng is a renowned AI researcher and educator. He co-founded Google Brain and Coursera and has been instrumental in popularizing machine learning education.


Fei-Fei Li:

Fei-Fei Li is a professor at Stanford University and a leading figure in computer vision. She is the co-director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab.

OpenAI:


X/Twitter: @OpenAI

OpenAI is a research organization focused on artificial intelligence. Following them will keep you updated on their latest research, projects, and advancements in AI.

MIT Technology Review:


X/Twitter:@techreview

MIT Technology Review covers a wide range of technology-related topics, including AI. It provides in-depth analysis, articles, and reports on the latest trends and developments in the tech world.


AI Weekly Newsletters:

Subscribe to weekly newsletters like the one from the Association for Computing Machinery (ACM) or others that curate the latest news, research papers, and discussions in the field of AI.


Kai-Fu Lee:

Kai-Fu Lee is a prominent AI researcher, venture capitalist, and author. He shares insights on AI, technology trends, and the impact of AI on society.


Arxiv.org - Artificial Intelligence Section:

arXiv: AI

Arxiv.org is a preprint repository where researchers often share their latest work. The AI section is a great place to find cutting-edge research papers.


AI Research Conferences:

Follow major AI research conferences such as NeurIPS, ICML, CVPR, and ACL. Many researchers share their work and findings during these conferences, providing a glimpse into the forefront of AI research.

AI Podcasts:


Listen to AI-related podcasts like the "Artificial Intelligence" podcast by Lex Fridman or "AI Alignment" by Robert Miles. Podcasts offer in-depth discussions with experts in the field.

AI Community Forums:


Join online communities and forums like Reddit's r/MachineLearning or Stack Overflow's AI section. These platforms facilitate discussions, questions, and insights from practitioners and researchers.


Coursera and LinkedIn offer a variety of courses on artificial intelligence, ranging from beginner to advanced levels. Here are some highly recommended courses that cover key aspects of AI:


"AI for Everyone" by Andrew Ng:

Aimed at a non-technical audience, this course provides a broad overview of AI

concepts, applications, and implications for various industries.


"Structuring Machine Learning Projects" by Andrew Ng:

This course focuses on the practical aspects of structuring machine learning projects,

addressing common challenges in real-world applications.


"AI and Machine Learning for Business" by INSEAD:

Designed for business professionals, this course explores how AI and machine learning

can be applied to solve business challenges.


"How to Research and Write Using Generative AI Tools" by Dave Birss

This is the best introduction to using ChatGPT for effective writing, data analysis, etc.


Following a combination of these influencers, organizations, and platforms will give you a well-rounded perspective on the latest trends, research, and discussions in the field of AI.



 
 
 

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