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 1962.
Latest News
Chirpy Cardinal SAIL Student Team Gets 2nd Place in Alexa Prize Socialbot Grand Challenge 4
Congratulations to Chirpy Cardinal! The team, led by Ethan Chi and advised by Chris Manning got 2nd place for the 2nd year running.
Professor Ron Dror and Students Raphael Townshend and Stephan Eismann Featured on the Front Cover of Science
Congratulations to Professor Ron Dror and students Raphael Townshend and Stephan Eismann who were featured on the front cover of Science for their paper “Geometric deep learning of RNA structure”.
AI4ALL Highlighted in The Stanford Daily
The Stanford Daily reports on how Stanford’s AI4ALL program mentors a new generation of diverse leaders in artificial intelligence.
Aditya Grover Wins SIGKDD Dissertation Award
Congratulations to Professor Stefano Ermon advisee Aditya Grover for winning the SIGKDD Dissertation Award!
Dorsa Sadigh Receives MIT Technology Review TR-35 Award
Congratulations to SAIL faculty Dorsa Sadigh on receiving an MIT Tech Review TR-35 award for her work on teaching robots to be better collaborators with people.
Anna Goldie Receives MIT Technology Review TR-35 Award
Congratulations to SAIL PhD student Anna Goldie on receiving an MIT Tech Review TR-35 award for her work on AI layout of computer chips with deep reinforcement learning.
Latest Tweets
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Learning-To-Rank (LTR) drives many applications (search, recsys) but ranking metrics are not differentiable wrt inputs. In our #NeurIPS2021 paper, we present PiRank, a scalable, differentiable LTR approach.
w/ @adityagrover_ Bruno Charron @StefanoErmon
https://bit.ly/3cOvxkx
Thesis defense of my mentee, and then close friend @AjayMandlekar
Take home: Robot intelligence needs supervision at scale. And it's not just an algorithms problem, equally a systems problem!
⭐️-committee: @drfeifei @silviocinguetta @EmmaBrunskill @chelseabfinn @DorsaSadigh
Anica, Keyan and I are so happy to welcome our new daughter Ishaani into this world!
Excited to introduce the GANformer2 model for Recurrent and Compositional Scene Generation!
Our new NeurIPS paper is available at https://arxiv.org/abs/2111.08960
And stay tuned for the model's implementation at https://github.com/dorarad/gansformer 🎉 https://twitter.com/ak92501/status/1461158487719919619
Compositional Transformers for Scene Generation
abs: https://arxiv.org/abs/2111.08960
an iterative object-oriented transformer, explored for the task of generative modeling
Why can GPT3 magically learn tasks? It just reads a few examples, without any parameter updates or explicitly being trained to learn.
We prove that this in-context learning can emerge from modeling long-range coherence in the pretraining data!
http://arxiv.org/abs/2111.02080
(1/n)
TFW you are chasing a reference to Alan Kay and find another version of this bit of ethnographic wonder from @stewartbrand ...
https://www.wheels.org/spacewar/stone/rolling_stone.html #NewCybernetics
We Are Pleased to Welcome a New Member of Our Faculty
Carlos Guestrin who focuses on Machine Learning, Explainability, Fairness and ML Systems.
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.
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