🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Congratulations to Leila Wehbe on receiving an U.S. National Science Foundation CAREER award for advancing our understanding of language processing by exploring how different areas of the brain interact with each other. cs.cmu.edu/news/2023/nsf-…

1/ “Prepare my evening tea” How can we enable embodied agents to execute open-domain instructions and personalized requests? Excited to share our work HELPER, an open-ended, instructable agent with memory-augmented LLMs, accepted at #EMNLP2023! 🤖 helper-agent-llm.github.io

Congratulations to Virginia Smith on being named Samsung Electronics AI Researcher of the Year! cs.cmu.edu/news/2023/smit…

Congratulations to Hoda Heidari on being named K&L Gates Career Development Professor of Ethics and Computational Technologies! cs.cmu.edu/news/2023/heid…

Congratulations to Maria-Florina Balcan on being named a 2023 Association for Computing Machinery (Association for Computing Machinery) Fellow! cs.cmu.edu/news/2024/2023…

Congratulations to Aaditya Ramdas and Virginia Smith on being named 2024 Sloan Foundation Research Fellows! cs.cmu.edu/news/2024/sloa…

ICML’24: “A Rate-Distortion View of Uncertainty Quantification”: arxiv.org/abs/2406.10775 Distance Aware Bottleneck is a method for enriching deep neural networks to decide whether it has sufficient evidence for reaching a reliable prediction. Ifigeneia Apostolopoulou Ben Eysenbach Dubrawski

I’m thrilled to be joining Carnegie Mellon University’s Machine Learning Department (Machine Learning Dept. at Carnegie Mellon) as an Assistant Professor this Fall! My lab will work at the intersection of neuroscience & AI to reverse-engineer animal intelligence and build the next generation of autonomous agents. Learn

Achieve SOTA on multimodal, complex tasks with minimal supervision! Introducing In-Context Abstraction Learning (ICAL): a method that extracts insights from visual demos and human feedback to continually teach multimodal LLM agents 🚀🤖🧠 ical-learning.github.io ICAL learns

📢 Can we use LLMs to help tackle real-world challenges? Yes! We introduce Patient-Ψ, which uses LLMs to simulate patients to create an interactive framework for training mental health professionals. Read on to learn how we do it! 📄: arxiv.org/abs/2405.19660 🧵 1/n

Carnegie Mellon's CMU School of Computer Science has launched the CMU TechBridge Coding Bootcamp to provide access to computer science education and career opportunities for high school graduates. 📷 #TartanProud ➡️cmu.is/TechBridge

Great to see our work on developing methods towards identifying the brain’s learning rules featured in The Economist today! Thanks Ainslie Johnstone for writing this piece! For more details, here's the original tweetprint 🧵👇: x.com/aran_nayebi/st…

Congrats to our own Nihar Shah on being named one of IISc Bangalore's Young Distinguished Alumni!

I’m happy to share that my rotation project was accepted by Journal of Computational Neuroscience. Thanks, my rotation advisor Dr. Bard Ermentrout and my collaborator Dr. Daniel Chung. link.springer.com/article/10.100…

1/ 🧵👇 What should count as a good model of intelligence? AI is advancing rapidly, but how do we know if it captures intelligence in a scientifically meaningful way? We propose the *NeuroAI Turing Test*—a benchmark that evaluates models based on both behavior and internal

Introducing *ARC‑AGI Without Pretraining* – ❌ No pretraining. ❌ No datasets. Just pure inference-time gradient descent on the target ARC-AGI puzzle itself, solving 20% of the evaluation set. 🧵 1/4

As a long-time fan of Paul Middlebrooks's "Brain Inspired" podcast, it was an honor to be invited on to talk about NeuroAgents, our update to the Turing Test, and AI safety at the end. Coincidentally recorded on my birthday, no less! Check it out here 👇

Thanks NVIDIA Data Center for the DGX B200 machine for the CMU Catalyst group! I'm perhaps already a bit too enthralled by it in the photos...

Really thrilled to receive #NVIDIADGX B200 from NVIDIA . Looking forward to cooking with the beast. Together with an amazing team at CMU Catalyst group Beidi Chen Tim Dettmers Zhihao Jia Zico Kolter, We are looking at the innovate across entire stack from model to instructions

Excited to see what the MLD Faculty and Students in the Catalyst Research Group will do with this brand new #NVIDIADGX B200. Many thanks to NVIDIA Data Center from all of us at #CMU! Zico Kolter Tianqi Chen