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Designing agents that accumulate knowledge over time, adapt to non-stationary environments, and self-improve across tasks — without catastrophic forgetting or human intervention.
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Knowledge Reasoning, Representation & Utilization
Building expressive knowledge representations and robust multi-step reasoning capabilities that connect structured knowledge graphs with unstructured information for real-world inference and decision-making.
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Foundation Models for Vertical Domains
Adapting large foundation models to specialized fields — driving breakthroughs in industrial manufacturing, materials science, and beyond through AI-powered knowledge synthesis and discovery.