NCSA wiki will be offline Friday, Apr 19, 2024, from 1700 hours until Sun, Apr 21, 2024 in order to upgrade Confluence.
Quick Links:
Information on Call for Proposals
Proposal Matchmaking (Archive from 2020 CFP)
C3 Administration (password protected)
Have Questions? Please contact one of us:
- Jay Roloff, jayr@illinois.edu (Executive Director, c3.ai.DTI)
- R. Srikant, rsrikant@illinois.edu (Co-Director, c3.ai.DTI)
- Tandy Warnow, warnow@illinois.edu (Co-chief Scientist, c3.ai.DTI)
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Announcing our Third Call for Proposals:
AI to Transform Cybersecurity and Secure Critical Infrastructure
It is anticipated that up to USD $10 million in Research Awards will be awarded from this Call for Proposals. Proposals can request funding of USD $100,000 to $1,000,000 for an initial period of one (1) year.
C3DTI will also make available up to USD $2 million in Azure Cloud computing resources, supercomputing resources at UIUC’s NCSA and LBNL’s NERSC, and free, unlimited access to the C3 AI Suite hosted on the Microsoft Azure Cloud.
**** We will be offering a virtual session with information on the CFP including an opportunity to ask questions early in January. Please keep an eye out on you email and this wiki page for more information. ****
Proposals are Due February 7, 2022
Awards will be made in March 2022 with start dates of around June 1, 2022
Announcements
Colloquium on Digital Transformation Science
October 7, 3 pm CT
Universal Laws and Architectures and Their Fragilities
John Doyle, Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering, California Institute of Technology
The past year unfortunately highlighted intrinsic and systemic unsustainability and fragilities in our society and technologies. While detailed mechanisms underlying “systemic fragilities” in immune, medical, computing, social, legal, energy, and transportation systems are incredibly diverse, all are enabled by shared universal features of their architectures, which are largely ad hoc historical artifacts. AI has many well-known fragilities, but outside social media has not so far contributed substantially to the catastrophes unfolding in these systems. This is poised to change dramatically. We need to more systematically design architectures that produce more robust and sustainable systems, including allowing higher layer learning and lower layer efficiencies to contribute. I’ll sketch the basic concepts of laws, layers, levels, and speed-efficiency-accuracy-flexibility trade-offs (SEAFTs), diversity-enabled sweet spots (DeSS), how crucial hardware layer constraints on sparsity, locality, and delay limit system layer functionality, and how proper layering can mitigate this via DeSS. Examples include all our tech nets, layered brains (e.g., throwing and hitting 100 mph fastballs), layered immunity augmented by medicine and policy (and insights into the current pandemic), systemic legal fragilities and the 14th amendment, cascading failures in energy, climate change, language and its hijacking in social media, encouraging animal models for social architectures, and wildfire ecosystems.
John Doyle is the Jean-Lou Chameau Professor at the California Institute of Technology. He earned his BS and MS degrees in electrical engineering from MIT. He received his doctorate in mathematics from the University of California, Berkeley. His research interests are in integrated theory foundations and architectures for complex networks that enable efficiency and robustness, with applications to tech, bio, neuro, and social systems and an emphasis on the impact on control performance due to delays, sparsity, locality, and saturations in sensors, actuators, communications, and computing components, and how these arise in and challenge bio, neuro, tech, and social system design. He has few academic awards but when younger had many regional, national, and world records and championships in various sports, and he is known for fantastic students and colleagues.Quick Links:
Information on Call for Proposals
C3 Administration (password protected)
Have Questions? Please contact one of us:
- Jay Roloff, jayr@illinois.edu (Executive Director, c3.ai.DTI)
- R. Srikant, rsrikant@illinois.edu (Co-Director, c3.ai.DTI)
- Tandy Warnow, warnow@illinois.edu (Co-chief Scientist, c3.ai.DTI)
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