Animashree Anandkumar
Bren Professor, Caltech; Co-Founder, Accelerated Understanding
SC26 brings high-performance computing, AI research and scientific infrastructure to Chicago’s McCormick Place on November 15–20, 2026.
SC26, the International Conference for High Performance Computing, Networking, Storage and Analysis, takes place November 15–20 at McCormick Place in Chicago. Its technical program runs across the full six days, while exhibits are scheduled for November 17–19. The conference connects the computing systems behind large-scale AI with scientific research and engineering applications.
The November 17 keynote features Animashree Anandkumar, Bren Professor at Caltech and co-founder of Accelerated Understanding. Her talk examines AI that understands the physical world and its potential to accelerate discovery. The keynote page gives the confirmed topic and speaker background.
Invited talks address healthcare, cancer research, quantum-classical computing, scientific infrastructure and AI applications in agriculture and other fields. Confirmed speakers include Eric Stahlberg, Giulia Guidi, Peter Coveney, Deborah Bard and Sunita Chadrasekaran. Use the invited program and conference schedule to check individual sessions.
Registration categories provide different access to the technical program, tutorials, workshops and exhibits. Review the registration guide before choosing a pass. Badge pickup is at the registration counter on McCormick Place’s third floor; on-site registration is also described by the organizer.
The venue is at 2301 South Martin Luther King Drive, Chicago, IL 60616. The venue guide covers transport, accessibility and campus resources. Metra Electric serves a station within the Grand Concourse. The official introduction video below is linked by SC26 and offers an overview of the event.
Bren Professor, Caltech; Co-Founder, Accelerated Understanding
Institute for Data Science in Oncology, UT MD Anderson Cancer Center
Department of Computer Science, Cornell University
Centre for Computational Science, University College London
Division of Computational Science and Technology, KTH Royal Institute of Technology
Lawrence Berkeley National Laboratory
Pawsey Supercomputing Research Centre, CSIRO
School of Electrical Engineering and Computer Science, Washington State University
University of Delaware