Stanford AI Lab
The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1963.
Latest News
SAIL AI Legacy Video Wins Two Telly Awards
The SAIL AI at Stanford 1962-2022 video is a Gold Telly Winner in the Non-Broadcast – Documentary: Short Form (Under 40 Minutes) category, and a Silver Telly Winner in the Non-Broadcast – Educational Institution category.
Stanford Computer Forum Releases Video from Generative AI and Foundation Models Workshop
See over eight hours of video from Stanford Artificial Intelligence Laboratory researchers speaking on April 13, 2023.
Researchers Introduce a System for Fine-Grained Robotic Manipulation
Professor Chelsea Finn and PhD Student Tony Zhao have now introduced a system for fine-grained robotic manipulation that relies on low-cost hardware and imitation learning directly from real demonstrations.
Eric Mitchell on AI Chatbots
Are they sentient? Are they safe? Will they take my job? Stanford PhD student Eric Mitchell answers the internet’s questions on AI chatbots
Chelsea Finn featured on The Insider
From deepfakes to Bing’s chatbot, AI-generated content is everywhere. Here’s how to spot it.
Congratulations to Jeannette Bohg, Zakir Durumeric, and Chelsea Finn for being selected as winners of this year’s Sloan Research Fellowships!
The fellows are “early-career scholars represent[ing] the most promising scientific researchers working today. Their achievements and potential place them among the next generation of scientific leaders in the U.S. and Canada.”
Latest Tweets
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How can we leverage factorization to make learning long-horizon mobile manipulation more tractable?
Our latest work introduces M-EMBER.
ICRA Presentation: Tuesday May 31, 3pm London Time, Award nomination - Student Paper and Manipulation Paper
Paper: https://arxiv.org/abs/2305.13567
I'm excited to participate in the LLMs in Production virtual conference on June 15-16! I will be speaking about "The Emerging Toolkit for Reliable, High-quality LLM Applications". Register here to join: https://home.mlops.community/home/events/llm-in-prod-part-ii-2023-06-20
BIG version update of our _deepbiosphere_ model in @biorxivpreprint
https://www.biorxiv.org/content/10.1101/2022.08.16.504150v3
a deep learning network to predict thousands of plant species at high resolution!
All led by @leg2015!
@CarnegieScience
@CarnegiePlants
@CarnegieEcology
@Stanford
@StanfordAILab
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Releasing the code of Sophia 😀, a new optimizer (⬇️）.
code: https://github.com/Liuhong99/Sophia
https://twitter.com/tengyuma/status/1661412995430219786?s=20
Adam, a 9-yr old optimizer, is the go-to for training LLMs (eg, GPT-3, OPT, LLAMA).
Introducing Sophia, a new optimizer that is 2x faster than Adam on LLMs. Just a few more lines of code could cut your costs from $2M to $1M (if scaling laws hold).
http://arxiv.org/abs/2305.14342 🧵⬇️
Prof @chrmanning talks with @AndrewYNg about how his interest in human languages led to his career in NLP.
Considering a career in #AI? See the updated @Coursera Machine Learning Specialization 👉 https://stanford.io/3HEj56q @DeepLearningAI_ @StanfordAILab @StanfordHAI @stanfordnlp
📣Ready to dive deep into the world of #MachineLearning with Graphs? 🌐 Our new online class explores how diseases & information spread, traffic & weather predictions, & so much more!
Join us, & make sense of the world's complex data🚀.
We kick off on… https://twitter.com/i/web/status/1661424667251597312
We Are Pleased to Welcome New Members of Our Faculty
Diyi Yang who focuses on Computational Social Science and Natural Language Processing
Sanmi Koyejo who focuses on Trustworthy Machine Learning for Healthcare and Neuroscience
Affiliates Program
Stanford AI Lab faculty and students enjoy chances to understand and solve the not-yet-doable pain points of industry. Get a chance to support and interact with SAIL’s brightest minds.
Learn More