Cognata introduces supervised generative AI through its innovative solution, DriveMatriX, revolutionizing training pipelines for the autonomous vehicle (AV) market. DriveMatriX uses proprietary generative AI models to augment real-world video data with realistic variations – weather, lighting and terrain – while ensuring precise control and eliminating common generative AI challenges. This groundbreaking approach enhances data diversity, reduces variability and minimizes costly real-world data collection. Designed specifically for AV applications, DriveMatriX enables robust and reliable AI model training for ADAS and autonomous systems. Attendees will gain insights into how real data augmentation is transforming generative AI workflows for safer, more efficient AV development.

• How supervised generative AI overcomes variability challenges by augmenting real-world video data with precise control
• The role of DriveMatriX in transforming limited real-world datasets into diverse, high-quality training materials for AV systems
• Practical applications of DriveMatriX in enhancing AI training pipelines for autonomous vehicles and ADAS development
• The innovation behind generative AI-driven augmentation for weather, lighting and terrain variations in real-world video datasets
• How real data augmentation reduces the need for costly data collection while ensuring robust, domain-specific AI model performance