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Helm.ai has introduced GenSim-2, a generative AI model designed to enhance video data for autonomous driving. This model allows developers to modify video data with features like dynamic weather changes and object appearance adjustments. By leveraging AI-based video editing capabilities, automakers can create more comprehensive datasets to tackle corner cases in autonomous vehicle development.
GenSim-2 builds on its predecessor, GenSim-1, and utilizes Helm.ai's proprietary Deep Teaching methodology. The model supports both augmented reality modifications and fully AI-generated scenes, providing a scalable solution for automakers. This innovation not only accelerates development timelines but also reduces costs associated with traditional data collection methods.
• GenSim-2 enhances video data for autonomous driving with generative AI.
• The model allows dynamic weather and object appearance modifications.
Generative AI refers to algorithms that can create new content, such as video data, based on learned patterns.
ai to train deep neural networks for enhanced AI performance.
Augmented Reality involves overlaying digital information onto the real world, which is utilized in GenSim-2 for video modifications.
ai develops AI software for autonomous driving and robotics, focusing on enhancing data generation for vehicle systems.
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