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Description
Recent advances in AI have been driven by large-scale generative models with impressive capabilities in language, code, and digital tasks. Yet these systems still have a limited understanding of the physical world, human intentions, and real-world context.
In this talk, Pascale Fung will discuss the next frontier of AI: world models.
World models allow AI systems to learn abstract representations of the world from continuous multimodal data, enabling reasoning, planning, memory, and action beyond next-token prediction. Moving toward real-world AI agents requires modeling not only the physical world, but also the mental world - including intent, attention, goals, and social context.
The future of AI will depend on systems that can understand, adapt, and collaborate in the real world, safely and reliably.
AMI Labs is an AI research lab building intelligent systems that understand the real world with persistent memory, reasoning and planning capabilities, focusing on safe and controllable AI for...
