How can AI systems move reliably from simulation to the real world? Join Manish Chauhan of the University of York for a 3-hour interactive seminar exploring statistically principled approaches to the SIM-to-real gap. Designed for PhD students and professional researchers in AI, robotics, biomedical engineering, and data science, the seminar will cover domain-shift diagnostics, sensor-noise modelling, Bayesian estimation, uncertainty quantification, and data-efficient adaptation. A hands-on case study and interactive Q&A clinic will help you apply these ideas to challenges such as sensor drift, latency, and limited calibration data—strengthening both deployment robustness and the evidence behind your research. Attend live via Zoom or revisit the recording and materials for 30 days after the seminar. Participants receive an Instats certificate of completion. #ArtificialIntelligence #BiomedicalEngineering #ComputerScience #DataScience #Engineering #Statistics #SoftwareEngineering #MATLAB #Python #Research #ResearchTraining #Instats