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    Convergent Intelligence: AI Hardware Co-Design and the Future of Computing

    29–30 Sept 2026
    US/Central timezone

    Contribution List

    24 out of 24 displayed
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    1. 1. Welcome & Opening Remarks
      Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
      29/09/2026, 09:00
    2. 2. Keynote talk
      29/09/2026, 09:20
    3. 3. HLS4ML Toolkit and NSF Phase-II POSE Project: Open Infrastructure for Accessible AI Hardware
      Seda Ogrenci (Northwestern University)
      29/09/2026, 10:00
    4. 4. Real-Time AI for Science: The Accelerated AI Institute for Data-Driven Discovery
      Mark Neubauer (Univ. Illinois at Urbana Champaign (US)), Philip Coleman Harris (Massachusetts Inst. of Technology (US)), Shih-Chieh Hsu (University of Washington Seattle (US))
      29/09/2026, 11:00
    5. 5. Panel: Designing AI Systems Under Real-World Constraints and the AI Innovation Ecosystem
      29/09/2026, 11:40

      Discuss important metrics such as latency, throughput, cost, energy, reliability, security, and sustainability as first-class co-design objectives. The role of design tools (including LLMs) and benchmarking to achieve these goals.

      Panelists:

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    6. 6. Talk
      29/09/2026, 13:45
    7. 7. Talk
      29/09/2026, 14:05
    8. 8. Talk
      29/09/2026, 14:25
    9. 9. Talk
      29/09/2026, 15:05
    10. 10. Talk
      29/09/2026, 15:25
    11. 11. Panel: Beyond the GPU—What Will the Future AI Compute Stack Look Like?
      29/09/2026, 15:45

      Researchers and industry leaders discuss GPUs, FPGAs, ASICs, chiplets, reconfigurable computing, and emerging memory technologies.

      Moderator:

      Panelists;

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    12. 12. Day 2 Overview
      Ahmet Enis Cetin (University of Illinois Chicago)
      30/09/2026, 09:00
    13. 13. Illinois Quantum and Microelectronics Park & National Quantum Algorithm Center
      30/09/2026, 09:10
    14. 14. DIscovery Partners Institute: Powering Responsible AI Innovation
      Gene Robinson (University of Illinois at Urbana-Champaign)
      30/09/2026, 09:40
    15. 15. IBM-Illinois Discovery Accelerator Institute
      30/09/2026, 10:10
    16. 16. The FastML Foundation and the Next Phase of Open AI Hardware Innovation
      Nhan Tran (Fermi National Accelerator Lab. (US)), Philip Coleman Harris (Massachusetts Inst. of Technology (US))
      30/09/2026, 11:00
    17. 17. Panel: What Does Industry Need from the Next Generation of AI Hardware?
      30/09/2026, 11:40

      Industry participants outline deployment requirements, technology gaps, and opportunities for collaboration with DPI, FastML, and HLS4ML. How shared tools, benchmarks, reusable IP, and community governance can accelerate innovation while supporting commercialization

      Moderator:

      Panelists:

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    18. 18. Talk
      30/09/2026, 13:45
    19. 19. Talk
      30/09/2026, 14:05
    20. 20. Talk
      30/09/2026, 14:25
    21. 21. Talk
      30/09/2026, 15:05
    22. 22. Talk
      30/09/2026, 15:25
    23. 23. Panel: Workforce Development for the AI / Quantum Hardware Era
      30/09/2026, 15:45
    24. 24. Summary / Closeout / Next Steps
      30/09/2026, 16:30