Applied use cases
Wayve is building the most adaptable driver, a Driving Intelligence that can learn to understand the world, yet adapt and scale intelligently to different driving domains: cities, vehicle platforms or mobility use-cases.
In Apollo, by contrast, rather than a floor plan, the program is performing what Yazdanbakhsh and colleagues call "architecture exploration."
Given that the task is to design an AI chip, the architectures that the Apollo program is exploring are architectures suited to running neural networks.
The new demo is called Object Pose Estimation and shows off Unity’s AI and machine learning (ML) capabilities.
Layering our technologies together shows how we are crossing a line, and we are starting to deal with something that is truly AI, and in this case, demonstrating the efficiencies possible...