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Sam Emeny-Smith

Sam is a strong-willed systems engineer with a passion for all things automotive, defense and motorsport. Sam has experience across all areas of the lifecycle within defense, and is now utilizing that to drive innovation in wider industries.


Self-learning models for vehicle dynamics

Learn how to use AI to solve your most intractable physics problems. This presentation will focus on track dynamics, using a customer case study in collaboration with Jota Sport, which decreased testing time by 72% using Monolith’s intelligent exploration tools. Discover how machine learning models can be trained on specific maneuvers to predict the forces on the vehicle during maneuvers that were not performed, thereby reducing total testing time.