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Modelling Mobility - Engineering Autonomy for AVs
As AI moves into the complexity of real-world systems, building robust, scalable platforms becomes critical. Autonomous vehicles serve as a crucial representation of this - AV models must continuosly learn, adapt, and operate safely in human-centric real-world events. In this presentation, gain insights into how Wayve are building an end-to-end model for robust, real-world autonomy. From data pipelines to model training, this talk will explore the infrastructure required to support continous learning at scale and what it takes to bring adaptive AI into physical environments.
