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=…

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!

I've decided to release a minimal, free online version of my upcoming "10-202 - Intro to Modern AI" course, starting January 26: modernaicourse.org. As a brief summary, this course introduces students to the elements of modern AI systems: you'll build and train a simple LLM chatbot from scratch in PyTorch, without any pre-built layers or pre-trained models at all. More information about the course, and a link to enroll, is available on the webpage link above. In the free online version, you can watch all lecture videos and submit all the assignments (all of which are autograded in the full course anyway). There won't be quizzes/exams, and there's no credit offered via CMU; this is purely for educational purposes. The online course will begin two weeks after the CMU version, and lectures and assignments will all be released with the same two-week delay after the in-person version. Note that this is a first-time offering for this course, so I certainly expect some hiccups along the way. But I hope the material will prove useful for many people.

I'm teaching a new "Intro to Modern AI" course at CMU this Spring: modernaicourse.org. It's an early-undergrad course on how to build a chatbot from scratch (well, from PyTorch). The course name has bothered some people – "AI" usually means something much broader in academic contexts – but I think the time has come where the first thing that many students interested in AI should see is how the AI they are familiar with actually works (because it's really simple!) The more people who understand it the better. I'll be trying to put as much material as I can that we develop online (assignments + autograding, hopefully lecture videos), though as a first-time course there are also likely to be some bumps along the way. Hopefully it becomes a good resource over time, though. Feedback welcome.

The new "America's AI Action Plan" mentions the word "university" zero times in its 23 pages, though it contains dozens of specific recommendations for other organizations to be part of the plan. Are U.S. universities now considered irrelevant to AI progress?

Missed this week's webinar on the new National Academies Report on AI and the Future of Work? Watch @erikbryn and @tommmitchell discuss key findings of the far-reaching report. digitaleconomy.stanford.edu/event/webinar-…

📢 CFP for DAIS@ICDE 2025. The workshop will focus on exploring innovative approaches towards building data-aware compound AI systems in the #LLM era. 👉Submission: January 20, 2025, 11:59pm Pacific Time 👉Notification: February 20, 2025 Details: dais-workshop-icde.github.io

How will the growing use of #AI affect jobs, workers, and productivity? Lab director @erikbryn and visiting scholar Tom Mitchell join @theNASEM tmrw @ 130p ET to discuss a new National Academies report on the implications of AI for work and education. nationalacademies.org/event/44014_11…

new overview paper on "Scientific Progress in Artificial Intelligence: History, Status and Futures," written with my co-author @erichorvitz . cs.cmu.edu/~tom/pubs/AI_O…

We are excited to announce the First Workshop on Data-AI Systems@ICDE 2025 (DAIS). The workshop will focus on exploring innovative approaches towards building data-aware compound AI systems in the #LLM era. More details: dais-workshop-icde.github.io #DataManagement #AgenticAI

How can AI accelerate science, and How can our government help make it happen? New whitepaper on this topic: tinyurl.com/53kjkj65

met yesterday with senior U.S. Senate staff to discuss AI and LLMs. Here are the slides I presented cs.cmu.edu/~tom/LLMsSenat…

@MegagonLabs Great to see you all, and to brainstorm together the exciting research going on there

Thank you @TomMMitchell, for visiting our office this week! The interns were very excited to spend time with you. Our team looks forward to seeing you again soon. #nlproc #machinelearning #ai #NLP

Excited share that our proposed workshop on "Matching From Unstructured and Structured Data" has been accepted at ACL 2023. Organizers include: @estevamhruschka, @tommmitchell, Marko Grobelnik, & Dunja Mladenic. Website + CFP coming soon! #acl #nlproc

really enjoyed my podcast conversation with Van Ton-Quinlivan @WorkforceVan about AI and the future of work.

Announcement: This Fall @tqchenml and I are releasing a free online version of our Deep Learning Systems course! Short description is you build a deep learning framework from the ground up. Sign up at course website: dlsyscourse.org Video teaser: youtube.com/watch?v=qbJqOF…

@J0hndyy It seems to be working for a lot of people. Please retry, and let me know in case you still have trouble.

Pleased to announce that my Machine Learning textbook is now a free download -- enjoy! tinyurl.com/mtzuckhy