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Explore the Future of HPC & AI at SC25 Invited Talks

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At SC25, the Invited Talks will highlight how high performance computing (HPC), artificial intelligence (AI), and related technologies are driving progress across science, engineering, and industry. These sessions bring together leading experts to share their perspectives on how computing continues to ignite new possibilities and shape the future.

This year’s program spans national strategies for computing competitiveness, the challenges of big data, and the role of HPC in creativity and research. Talks will feature advances in areas such as space exploration, real-time weather prediction, and AI-driven healthcare at scale—examples of how HPC ignites innovation in diverse domains.

The Invited Talks provide an opportunity to see how HPC is being applied in both expected and unexpected ways, fueling discovery and new approaches across disciplines. They are included in the Technical Program registration (in-person and digital). Secure your badge to join these sessions and be part of the conversations shaping the next chapter of computing.

Welcoming This Year’s Invited Speakers


Tuesday, November 18, 2025

Life SCiences

Aldo Faisal

2:15–3 pm CST

Nightingale AI – Building Medical Foundation Models at Nation-State Scale

Aldo Faisal

Imperial College London (UK) / Universität Bayreuth (Germany)


Wednesday, November 19, 2025

Creativity

Lav Varshney

10:30–11:15 am CST

High Performance Creativity

Lav Varshney

Stony Brook University / Kocree, Inc.

Ultrascale Infrastructure

April Novak

2:15–3 pm CST

Nuclear Energy and Large-Scale Computing

April Novak

University of Illinois at Urbana-Champaign

National Strategies

Sanjay Wandhekar

3:30–4:15 pm CST

National Supercomputing Mission: Building India’s Self-Reliant HPC Ecosystem

Sanjay Wandhekar

Centre for Development of Advanced Computing (C-DAC)


Thursday, 20 November, 2025

Applications

Dima Damen

8:40–9:20 am CST

Opportunities in Egocentric Video Understanding

Dima Damen

University of Bristol

Big Data

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