Jerome LeudetJerome Leudet has a strong background in AI. After a masters in AI and VR, in early 2000s, he developed AIs in the gaming industry for more than a decade and worked in industrial simulation. With the rise of AI, he had the opportunity to start a PhD and study how synthetic data could be used for training neural networks. He founded AILiveSim on a mission to create rich interactive worlds to train and test algorithms at first for maritime applications. AILiveSim aims to solve the current and future problems with training intelligent systems.
Bridging the domain gap in the autonomous development pipeline
The automotive industry has shown that using simulation is the most affordable and fastest way to test, train and validate autonomous machines. In the maritime world, this evolution is still in process. One way to speed this integration is for the maritime sector to have access to more specific content combined with a clear automation of the process related to scenario creation. This presentation will explain AILiveSim is able to bridge the domain gap by focusing on the relevant application thereby minimizing work in the data collection pipeline.