Create a materially better future at the 2023 Accelerate Conference

2023 accelerate conference
presented by the acceleration consortium
abstract applications ARE NOW OPEN
APPLY NOW
Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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Toronto • Aug 22 — 25, 2023
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01
about the conference

Accelerate is an interdisciplinary event that brings together changemakers in academia, industry and government who are shaping the emerging field of AI for science.

Register now!

Conference talks, workshops and networking opportunities will allow you to connect with a global community working to realize a healthy, sustainable, materially different future.

60+
Speakers and panelists
200+
Attendees
4
Days of fun!
02
Participate

Showcase your expertise and connect with a global community of like-minded professionals.

Submit your abstract now
Partner with us

We are looking for sponsors and abstracts submissions for this year's Accelerate conference. Join us in shaping the future of our industry.

Better Materials for a better future—Now

Better Materials for a better future—Now

04
featured speakers
Ian Foster
Joint Keynote: AI-driven large-scale automated scientific experimental laboratories
  • Director of Argonne’s Data Science and Learning Division
  • Co-founder of the popular and long-lived data-sharing tool Globus
  • Widely considered the father of grid computing, the precursor to cloud computing
Ian Foster
Joint Keynote: AI-driven large-scale automated scientific experimental laboratories
  • Director of Argonne’s Data Science and Learning Division
  • Co-founder of the popular and long-lived data-sharing tool Globus
  • Widely considered the father of grid computing, the precursor to cloud computing
Rick L. Stevens
Joint Keynote: AI-driven large-scale automated scientific experimental laboratories
  • An employee of Argonne National Laboratory since 1982
  • Currently Argonne’s associate laboratory director for the computing, environment and life sciences
  • A professor of computer science at the University of Chicago
Rick L. Stevens
Joint Keynote: AI-driven large-scale automated scientific experimental laboratories
  • An employee of Argonne National Laboratory since 1982
  • Currently Argonne’s associate laboratory director for the computing, environment and life sciences
  • A professor of computer science at the University of Chicago