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Top AI Influencers Every Business Should Follow

AI is fun, and it comes with its own share of knowledge bank. With so much happening in the industry and technology within, it becomes very hard to judge a technology – what’s hot and what’s not. That’s where Twitteratis come into action. With their accurate messaging and promotion of content that are closest to the verified truth, AI influencers make the ecosystem sound and believable. Here are top AI influencers on Twitter who know what’s baking in the Machine Learning furnace.

Adam Coates


A former Stanford University doctorate, Adam is an Operating Partner at Khosla Ventures. He has developed deep learning software for some of the most high-performance computing systems with a team at Stanford. His deep learning expertise is used for unsupervised learning, object detection, and self-driving cars at Baidu, and Stanford AI.

Andrej Karpathy


The former Director of AI at Tesla, Andrej is a multi-faceted Twitter influencer. From following research study groups to identifying the top trending technologists in AI and deep learning. Andrej keeps blogging frequently about his interactions with AI, self-driving cars, and machine learning algorithms.

Fei-Fei Li


AI is a competitive ecosystem and we love to see women in tech making it to our list of top-searched Twitter celebrities in the industry. Dr. Fei-Fei Li is a co-founder of the non-profit institution for AI technologists, ai-4-all.

Dr. Li is the Chief Scientist of AI/ML and a VP at Google Cloud. From being a mentor and professor of computer vision, machine learning, AI, computational neuroscience at Stanford, Dr. Li has scripted a phenomenal journey into AI and computational theories. Her posts and Twitter followers justify the legacy.

François Chollet


The creator of Keras is a Twitter influencer with strong opinions. He once tweeted how Deep Learning algorithms could look dumb from every angle, but can still solve industrial problems. It does not have to be smart to be useful. Savvy!

Ian Goodfellow


Ian is a lead author at MIT Press. With nearly 90k+ Twitter followers 100k, the Google Brain research is a potent minefield of ‘everything AI and deep learning”. He often tweets and posts his answers on varied computational challenges and empirical papers, helping new researchers get to the core of specific AI and neural networks.

Reza Zadeh

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The CEO at Matroid is a cool Twitter influencer who knows the pulse of the AI revolution. His team consists of tech-friendly individuals who work with complex decision trees and deep learning algorithms.

Miles Brundage


Miles can tell you everything about AI policies and how to leverage content for better decision-making in AI. Currently a Research Fellow at the University of Oxford’s Future of Humanity Institute and a Ph.D. candidate in Human and Social Dimensions of Science and Technology at Arizona State University, Mike is also associated with the Virtual Institute of Responsible Innovation (VIRI), and the Journal of Responsible Innovation (JRI). Mike publishes his insights and research papers on his privately-owned website.

Adam Geitgey


Machine Learning is magical; Adam tells us how. From video-based face recognition to Google AI and ethics, Adam tweets about most contemporary topics in the industry with a flair of an experienced rodeo.

Andrew Ng


The co-founder of Coursera is a credible influencer on Twitter. Andrew has over 30K+ followers and he follows most research programs erupting in the AI field.

Soumith Chintala


Soumith is an AI Research Engineer in Facebook. With 46k followers on Twitter, Soumith keeps a close tab on machine-level automation, driven by NLP, bots and AI-focused research papers.

Richard Socher


The Chief Scientist at Salesforce, Richard Socher is the next name in our list of top AI influencers on Twitter. Richard keeps his followers and community updated about “why language is AI’s greatest challenge.”

While this is not the end-of-world list of AI influencers on Twitter, we certainly think that following these professionals could be very helpful in understanding more about the industry and the layers of deep learning beneath.

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