AIUK 2022 Workshop - RADDISH: Real-Time Data Assimilation for Digital Twins

AIUK 2022 Workshop - RADDISH: Real-Time Data Assimilation for Digital Twins

Alan Turing Institute via YouTube Direct link

Realtime requirements

30 of 43

30 of 43

Realtime requirements

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Classroom Contents

AIUK 2022 Workshop - RADDISH: Real-Time Data Assimilation for Digital Twins

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  1. 1 Introduction
  2. 2 Motivation for data simulation
  3. 3 Data simulation definition
  4. 4 Data simulation techniques
  5. 5 Particle filtering
  6. 6 Interactive notebook
  7. 7 Model agnostic
  8. 8 Data simulation setup
  9. 9 Data simulation plots
  10. 10 Tech stack
  11. 11 Parallelization
  12. 12 Parallelization overview
  13. 13 Parallelization performance
  14. 14 Future work
  15. 15 Thank you
  16. 16 Takehome
  17. 17 Tsunami
  18. 18 Comparison
  19. 19 Error
  20. 20 Parameter evolution
  21. 21 Questions
  22. 22 Digital twin
  23. 23 Digital twins
  24. 24 Python implementation
  25. 25 Contacts
  26. 26 QA
  27. 27 AI trained models
  28. 28 Cloudbased measurements
  29. 29 Realtime questions
  30. 30 Realtime requirements
  31. 31 Realtime observations
  32. 32 Realtime drift
  33. 33 Email ramturingacuk
  34. 34 Workshop
  35. 35 Sensors
  36. 36 Sensors moving
  37. 37 Workshops
  38. 38 Thanks
  39. 39 Deployments
  40. 40 Scaling plots
  41. 41 Finding a workflow
  42. 42 Integration with Julia
  43. 43 Outro

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