Tom M Mitchell

How did machine learning get to this amazingly successful point? My new podcast tells the story of the field with the help of a dozen major contributors such as @geoffreyhinton , @ylecun , @RichardSSutton , @tdietterich and others. youtube.com/playlist?list=…

One of the very first AI agent models of human cognition was the SOAR system in the 1980s. Co-inventor @john_e_laird describes the effort, and his follow-on research over 40 years to understand human intelligence through AI agent models. Check it out! youtube.com/watch?v=YP2YbF…

Jensen Huang, Founder and CEO of @nvidia, will serve as Carnegie Mellon’s 2026 Commencement keynote speaker and will receive an Honorary Doctor of Science and Technology.

My conversation with Kai-Fu Lee @kaifulee — former president of Google China, and currently a leading VC investing in AI in China. Kai-Fu also discusses his pioneering contributions to machine learning for speech recognition, starting as a PhD student! youtube.com/watch?v=jyvsnX…

How do artificial neural networks in AI relate to real neural networks in the brain? Hear it from Jay McClelland who has spent decades studying this question, and who helped launch neural networks as a machine learning approach in the 1980s. youtube.com/watch?v=GArl9A…

U.S. President Donald Trump has fired all 24 members of the National Science Board, the body that oversees the National Science Foundation. Many science advocates see it as the latest step by his administration to erode—some would say destroy—the independence of the 76-year-old research agency. scim.ag/4eGM0YS

@realBigBrainAI He's confusing *how GPT was trained* with *how it works* once it's trained. If I give you an entire mystery novel up to the point where the text says "and the murderer was ...", and you predict the next text correctly, I'd say you *understood* the novel.

Oxford AI professor Michael Wooldridge: "ChatGPT doesn't understand anything. It's essentially doing some fancy statistics."

@DaphneKoller describes her pioneering research on machine learning for probabilistic models as a @Stanford Professor, and her move to industry, where she is currently CEO of @Insitro applying ML to human biology. youtube.com/watch?v=DReHVP…

Rate, follow, and/or subscribe for future episodes! Listen on Spotify: open.spotify.com/episode/4Y48ZF… Listen on Apple: podcasts.apple.com/us/podcast/lea…

When @DaphneKoller wanted to see her machine learning research make a real-world impact, she left academia to build @insitro. Her conversation with @tommmitchell on probabilistic models, AI in biotech, and more is our latest podcast episode! 📹YouTube: youtu.be/DReHVP8rpSw

Congratulations to everybody funded by the newly announced @LaudeInstitute moonshot program. I'm proud to have been part of the selection committee -- this is an amazing set of moonshot efforts. x.com/LaudeInstitute…

We asked the best AI researchers in the world one question: if you had the resources, how would you use AI to solve humanity's hardest problems? Today we're sharing what came back. Moonshots // ONE is live. 🧵 laude.org/moonshots

1980s self driving vehicles based on neural networks ?!?!? It’s true — hear the history directly from the person who made it happen: Dean Pomerleau on today’s newest podcast episode. youtube.com/watch?v=q-lRgH…

New podcast episode for you! The field of Statistics enters the Machine Learning conversation, as @tommmitchell talks with Michael I. Jordan of @inria_paris! Watch here: youtu.be/BfBxS2rEH3k

Disgraceful! The US/Israel just bombed Sharif University in Tehran. This is not only Iran's best university, but also a top 100 global university in the field of Civil Engineering. It has also been a center of student opposition to the Iranian gov And Trump just bombed it...

Machine learning versus statistics? Not much overlap before the 1990s, but hear the history on how they came together from Michael Jordan. Today's podcast episode. youtube.com/watch?v=BfBxS2…

@tommmitchell’s conversations with friends and colleagues give a unique historical look at both the research and the people behind machine learning. Subscribe for more episodes! 🎧Spotify: open.spotify.com/episode/6PUHBI… 👂Apple: podcasts.apple.com/us/podcast/mac…

What should a *theory* of machine learning answer? Hear it from the father of machine learning theory: Turing Award winner Les Valiant. Podcast episode dropped today: youtube.com/watch?v=xjwgk7…

How did Decision Tree learning come about? Hear it from the father of decision tree learning himself, Ross Quinlan, in the newest episode of Machine Learning: How Did We Get Here? youtube.com/watch?v=W8nS-D…

Just dropped a new interview with @RichardSSutton on reinforcement learning - how he got into it, why it matters, what next, ... It's part of the new podcast on "Machine Learning: How Did We Get Here?" youtube.com/watch?v=n8jRjM…

I had fun doing this interview with Tom Mitchell. We start with the chaos of early machine learning, travel through the 90s where theory and practice all made sense, and reach the present day where things are once again chaotic!