Twitter can be a great place to stay abreast of the latest AI research, keep connected with new AI companies and products, and get insight into the thinking of some of today’s top AI minds.
For those interested in AI, make sure these twelve Twitter accounts are on your daily feed. From the developer of scikit-learn to professors at top name universities to staff scientists at Google Brain, these accounts share AI research papers, industry events, tutorials, videos, blog posts, and more insightful AI commentary that you won’t want to miss.
Twitter Handle: @amuellerml
Andreas Miller helped develop scikit-learn, Python’s machine learning library, and is now a principal researcher at Azure Data. His Twitter feed is filled mostly with retweets of other top names and organizations in the AI and ML fields, giving you a great overview of current events and public commentary.
Follow here.
Twitter Handle: @lishali88
Lisha is the founder and CEO of Rosebud AI, a generative AI for web3 creators. She holds a Ph.D. in AI and mathematics from UC Berkeley. Her tweets include retweets and responses to the latest AI research as well as relevant commentary on the field.
Follow here.
Twitter Handle: @kdnuggets
KDnuggets is the official Twitter account of the AI, Machine Learning, and Data Science website, KDnuggets.com. While the account mostly promotes content on their website, it’s a great way to easily access AI and ML tutorials, guides, and blog posts.
Follow here.
Twitter Handle: @AssemblyAI
@AssemblyAI is the official Twitter account for an industry-leading Speech-to-Text API and Audio Intelligence API making a name for itself in the speech recognition startup field. Developers and AI enthusiasts will find links to YouTube deep dives and tutorials, in-depth blog posts, and other content related to Python, Natural Language Processing (NLP), AI, and more.
Follow here.
Twitter Handle: @OpenAI
OpenAI is a research and deployment company dedicated to ensuring AI research equality and equity. On the company’s Twitter feed, you’ll find research announcements, demos, informational videos, and more.
Follow here.
Twitter Handle: @drfeifei
Dr. Fei-Fei Li is a professor at Stanford University, Co-Director of Stanford HAI, Co-Director and Chair of the non-profit AI4ALL, and top researcher in AI, computer vision, and machine learning. Her tweets include updates of her AI research, company events and news, and field commentary.
Follow here.
Twitter Handle: @Datasciencecectrl
The Data Science Central Twitter feed shares new publications and research related to data science, AI, machine learning, IoT, deep learning, and more. It’s a great account to follow to stay on top of general news and discoveries throughout this field.
Follow here.
Twitter Handle: @AndrewYNg
Andrew Ng is the co-founder of popular online learning platform Coursera, a Stanford Computer Science faculty member, and the former head of Baidu AI Group and Google Brain. While there is promotional content throughout the feed, Twitter users will find his perspective on current AI research and trends worthwhile.
Follow here.
Twitter Handle: @jeggers
Jana Eggers is the CEO of Nara Logics, a Synaptic Intelligence platform, and self-described “applied ai nerd.” Eggers reshares AI-related news stories with her own added commentary as well as intriguing AI research, commentary, and more.
Follow here.
Twitter Handle: @demishassabis
Demis Hassabis is the founder and CEO of DeepMind and Isomorphic Labs. He typically retweets AI-related research papers, publications, and AI business content.
Follow here.
Twitter Handle: @lmthang
Thang Luong is a staff research scientist at Google Brain and co-founder of the non-profit Viet AI. Luong’s Twitter feed is filled with his take on new AI research papers, making him a great person to follow for more technical and applied content. He also often includes Natural Language Processing, or NLP, content.
Follow here.
Twitter Handle: @Thom_Wolf
Thomas Wolf is the co-founder and Chief Science Officer at HuggingFace. On Wolf’s account, you’ll find AI-related musings, research papers, tutorials, and Natural Language Processing-related content like Sentiment Analysis, speech transcription, and more.
Follow here.