We continue to review all events currently planned for the next sixty days and organizers will be notified if their event must be canceled, postponed, or held remotely. Please, check back on Indico during this time for updates regarding your meeting specifics.
As DOE O 142.3A, Unclassified Foreign Visits and Assignments Program (FVA) applies not only to physical access to DOE sites, technologies, and equipment, but also information, all remote events hosted by Fermilab must comply with FVA requirements. This includes participant registration and agenda review. Please contact Melissa Ormond, FVA Manager, with any questions.

----

ZOOM meetings Lab policy: You absolutely must not post Zoom meeting IDs on any public website unless you set a password to protect the meeting/event. Of course, do not post the password on any public website, either.
For details please refer to the news article https://news.fnal.gov/2020/03/zoom-tips-to-keep-your-meetings-secure/ Zoom information should be either given on email request or stored on a SharePoint page behind SSO".

----

Indico search will be reestablished in the next version upgrade of the software: https://getindico.io/roadmap/


   

This search is only for public events. Restricted events are not available.

 

November 9, 2020
US/Central timezone

Join us this fall for an overview on strategic opportunities to collaborate on AI research followed by a technical workshop in Spring 2021.

The “AI + measurements” collaboration aims to forge new connections between Fermilab, University of Chicago, Toyota Technological Institute at Chicago (TTIC), and Argonne National Laboratory.

 

Overview: In part one of this two-part workshop, “Partnering to Advance AI Research & Development,” we begin with a broad focus on partnering opportunities available to advance AI research and development between the partnering institutions at University of Chicago, Fermilab, Argonne National Laboratory, and Toyota Technological Institute at Chicago (TTIC).  This workshop will highlight and identify opportunities for synergistic R&D among our institutions.  There will be multiple Q&A opportunities to provide as much interaction as possible.

Registration will close at close of business on November 2.

 

Confirmed speakers:

Cheryl Ingstad; Director, Artificial Intelligence & Technology Office, Department of Energy

Nick Feamster; Neubauer Professor, Department of Computer Science, and Director, Center for Data and Computing, University of Chicago

James Amundson; Head, Scientific Computing Division, Fermilab

Rick Stevens; Associate Laboratory Director for Computing, Environment and Life Sciences, Argonne National Laboratory

Doug Elmore; Senior Research Specialist, 3M Corporate Research Analytical Laboratory

 

Who should attend: “Partnering to Advance AI Research & Development” will provide an opportunity to discuss interdisciplinary areas in AI for measurements in physical and biological sciences and engineering. We anticipate the workshop will resonate with researchers, graduate students, and technical managers working at the frontlines of AI with experience in data science, computing, and experimental sciences. Fruitful alliances will form during this workshop with which we can collectively harness large-scale funding opportunities at several federal research agencies.

 

Webinar participants will:

  • Hear from organizational leaders of each of the institutions and an industry leader about the broad initiatives and activities in AI research and development.
  • Observe the strategic direction of AI research funding opportunities at the federal level
  • Identify paths to increase the collaboration and coordination between the participating institutions in AI research.
  • Be a part of the growing community of researchers in AI research across our institutions.

 

Next steps: There will be a technical workshop in Spring 2021 following this webinar. The full schedule is currently under development. Researchers from diverse domains such as data acquisition, metrology, cosmology, astronomy, particle physics, accelerator science, and chemistry will have the opportunity to focus on cutting-edge AI research and tools. Crucial areas such as inverse problems, uncertainty, active learning, and reinforcement learning will be explored more closely in the context of measurements.

 

Sponsors: This workshop is sponsored by the University of Chicago’s Office of Research and National Laboratories Joint Task Force Initiative’s  “AI+Science“ grant and the Center for Data and Computing (CDAC) - an intellectual hub and incubator for data science and artificial intelligence research at the University of Chicago.

 

Acceptance of registration contingent upon review by Fermiab Foreign Visits and Assignments Office.


The Zoom connection information will be distributed via e-mail 24 hours in advance of the webinar. Attendees should block the event date and time on their calendar. Please ensure your Zoom name matches the name on your registration to ensure you're able to access the meeting. The Zoom connection link may not be shared.

Registration
Registration for this event is currently open.