Sending our congratulations to @PeterStone_TX, who has just been named Chair of the Department of Computer Science at @UTAustin! @UTexasResearch Peter Stone to Lead UT Department of Computer Science as Chair, Emphasizing Continued Growth and Community https://t.co/7tU7THl5ru

🍎 📓 🔭 Welcome back, Longhorns! There is nothing like the start of another school year. We hope everyone is excited to experience the fullness of this special time, embarking on another semester filled with possibility! #WhatStartsHere

Our work unlocks new possibilities for AI on power- and bandwidth-constrained devices, like wearables and satellites. Congrats on winning the Best Paper Award, Dan!! @UT_SysML

Excited to join DevRev board of directors. DevRev has an impressive vision for AI agents and great understanding of where the real problems lie. Training real-world agents that are reliable and enterprise-ready will be a multi-year effort, and it all starts with reliable data and

Educational institutions are debuting AI courses, degrees and certifications, aiming to help people become AI “literate.” While some worry AI could replace them at work, others hope education will help them get ahead.

UT's Master of Science in AI Highlighted in @washingtonpost! "When @UTAustin launched its MSAI in 2024, it underestimated how popular it would be. At launch, it had more than double the enrollment of its second most popular online master’s program." https://t.co/Xl9XYcS5eH

UT to Lead the Next Gen of AI https://t.co/yurJYdmFIa “IFML is committed to open-source development, ensuring that the breakthroughs we make are accessible and impactful across sectors—from tech to healthcare to academia.”-IFML Director Adam Klivans @UTexasResearch @NSF

NSF invests $100 million in new U.S. AI research institutes – global context and technology-company dynamics

Congratulations to executive team member @PeterStone_TX, who received the ACM–AAAI Allen Newell Award for his contributions to AI and robotics. As a founding member of @GoodSystems, he’s advanced responsible, human-centered approaches to AI. 🎥 https://t.co/bN32l43DWY

Listen to a short podcast with IFML leaders Adam Klivans, Alex Dimakis (@AlexGDimakis) and Sanjay Shakkottai. The team discusses IFML's success in its first 5 years and how the renewed investment from @NSF will advance #GenAI research across industries. ➡️ https://t.co/WPJRm8lC5f

NSF & Private Partners Award $100M to National AI Research Institutes https://t.co/M9JJPTgt9O via @executivegov

Wichita State joins other institutions in receiving renewed $20 million grant for generative AI R&D | Wichita State News https://t.co/dcwiYBBj21 @WichitaState @WSUEngineering

Delighted to announce that the 2nd edition of our workshop has been accepted to #NeurIPS2025! We have an amazing lineup of speakers: @WenSun1, @ajwagenmaker, @yayitsamyzhang, @MengdiWang10, @nanjiang_cs, Alessandro Lazaric, and a special guest!

IFML (Institute of Foundations in Machine Learning) has been renewed! Our work on learning from noisy data is highlighted in the announcement as one of the key directions for the next phase of IFML. Very happy to be part of the IFML family and excited for the future!

I am excited to announce that our AI institute (Institute for Foundations of Machine Learning, IFML) has been renewed. IFML was part of the first cohort of AI Institutes announced in 2020. Led by UT Austin, the new award will build on the trajectory of the past five years and

Huge congratulations to Adam Klivans, for renewing the NSF Institute for the Foundations of Machine Learning at UT Austin with intent to expand generative AI to protein engineering and clinical imaging.

with @UTAustin @UW @Stanford @UCLA @UCBerkeley @WichitaState @BostonCollege @sfiscience @Caltech @unevadareno

(2/n) Congratulations @MLFoundations @UTAustin @UW @WichitaState @UCBerkeley @Stanford @Caltech all our partners and our fearless director Adam Klivans. Thank you @nsf !

How do we make AI more accurate, reliable, and ready for real-world impact? With renewed support from @NSF, researchers at IFML are advancing AI to drive progress in science, technology, and the workforce. https://t.co/Apvk3lOWTM

Excited to announce this interesting paper: Prompt optimization that uses verbal feedback and reflection. Outperforms all previous prompt optimizers and is much faster than RL GRPO.