Compute Cluster - Center for AI Safety (CAIS)
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Center for AI Safety
Metadata
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Center for AI Safety (CAIS) | Organization | 42.0 |
Cached Content Preview
HTTP 200Fetched May 30, 202616 KB
Compute Cluster | CAIS
AI risk Resources
Contact Careers Donate Resources
AI Risk Contact Careers Donate Careers Donate
Sections
Introduction Eligibility Application Process Collaborators Resulting Research Apply Here CAIS Compute Cluster - Overview
Conducting useful AI safety research often requires working with cutting-edge models, but running large-scale models is expensive and often cumbersome to implement. As a result, many non-industry researchers are unable to pursue advanced AI safety research.
To address this issue, CAIS runs an initiative to provide free compute for research projects in ML safety, based on a cluster of 80 A100 GPUs , with a dedicated team to provide support to cluster users.
The CAIS Compute Cluster has already supported numerous research projects on AI safety:
~100
AI safety research papers produced. 150+
AI safety researchers actively using the cluster 2,500+
Research citations A full list of papers can be found on our Google Scholar .
Any questions can be directed to compute@safe.ai
CAIS Compute Cluster Research
Who is Eligible for Access?
We are currently not accepting new applications for external access to the cluster.
Our Collaborators
We support leading experts in a diverse range of ML safety research directions, some of which are listed below.
Bo Li
Assistant Professor of Computer Science, University of Illinois at Urbana-Champaign
Carl Vondrick
Assistant Professor of Computer Science, Columbia University
Cihang Xie
Assistant Professor of Computer Science, UC Santa Cruz
David Bau
Assistant Professor of Computer Science, Northeastern Khoury College
David Krueger
Assistant Professor at the University of Cambridge
Member of Cambridge: CBL & MLG
David Wagner
Professor of Computer Science, University of California Berkeley
Dawn Song
Professor of Computer Science, University of California Berkeley
Florian Tramer
Assistant Professor of Computer Science, ETH Zurich
James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University.
Jinwoo Shin
Professor of AI, Korean Advanced Institute of Science & Technology
Matthias Hein
Professor of Machine Learning, University of Tübingen
Percy Liang
Associate Professor of Computer Science, Stanford University
Robin Jia
Assistant Professor of Computer Science, University of Southern California
Scott Niekum
Associate Professor of Computer Science, University of Massachusetts Amherst
Sharon Li
Assistant Professor Department of Computer Sciences University of Wisconsin-Madison
Yizheng Chen
Assistant Professor of Computer Science, University of Maryland
Research produced using the CAIS compute cluster
View our Google Scholar page for papers based on research supported by the CAIS Compute Cluster:
CAIS Compute Cluster Research
Universal and Transf
... (truncated, 16 KB total)Resource ID:
20a70d5bdb84f10e | Stable ID: sid_Il7Y7cQLfg