Research
SIL research progress across foundation models, agents, multimodal AI, AI Infra, and embodied intelligence.
Blog
How Long-Term Memory Becomes an Updatable Decision System
Long-term memory in AI Agents is state infrastructure, not simple retrieval. This post outlines an end-to-end architecture that converts scattered signals into traceable evidence and updatable states. By compiling task-specific context and closing the feedback loop with data lineage, agents move beyond merely remembering history to continuously making better decisions over time.
Papers
Why can someone still feel tired after 7.5 hours of sleep? Finding important patterns across weeks or months of sleep records, explaining what may drive them, and turning findings into safe, personal actions: challenges and a training pipeline with reasoning graphs, weighted DPOP, and fine-grained GRPO.