Teams at AMI

Research and engineer world-model AI systems: develop self-supervised and video/multimodal architectures, scalable data pipelines, evaluation frameworks, and model-based planning algorithms; design, run, and analyze experiments in accelerator-based training environments.

Develop and scale world-modeling systems that learn from video and other high-dimensional sensor data. Implement self-supervised learning, design architectures for predicting dynamics, build preprocessing pipelines, and create efficient model-based planning and distributed training infrastructure.

Research and develop world-model based AI: self-supervised learning from video, predictive architectures, scalable data curation, evaluation benchmarks, and model-based planning algorithms. Design, run, and analyze experiments in large-scale accelerator environments.