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

Explore real-time data assimilation techniques for digital twins in this 57-minute workshop from the AI UK 2022 Research in Action series. Dive into the motivation behind data simulation, its definition, and various techniques, with a focus on particle filtering. Engage with an interactive notebook to understand model-agnostic approaches, data simulation setup, and visualization. Learn about the tech stack and parallelization strategies to enhance performance. Discover applications in tsunami modeling, error analysis, and parameter evolution. Gain insights into AI-trained models, cloud-based measurements, and real-time implementation challenges. Discuss sensor deployment, scaling issues, and workflow integration. Connect with experts and explore potential collaborations in this cutting-edge field of digital twin technology.

Introduction
Motivation for data simulation
Data simulation definition
Data simulation techniques
Particle filtering
Interactive notebook
Model agnostic
Data simulation setup
Data simulation plots
Tech stack
Parallelization
Parallelization overview
Parallelization performance
Future work
Thank you
Takehome
Tsunami
Comparison
Error
Parameter evolution
Questions
Digital twin
Digital twins
Python implementation
Contacts
QA
AI trained models
Cloudbased measurements
Realtime questions
Realtime requirements
Realtime observations
Realtime drift
Email ramturingacuk
Workshop
Sensors
Sensors moving
Workshops
Thanks
Deployments
Scaling plots
Finding a workflow
Integration with Julia
Outro