端侧部署与系统优化
面向低时延与高可靠的边缘端系统协同优化，覆盖算力感知调度、编译优化与运行时管理（占位）。
Vision
We advance Edge AI for real-world deployment at scale: system–algorithm co-design for low latency, low power, and high reliability, building reusable, verifiable, and deployable solutions (placeholder).
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View all模型压缩与量化
面向边缘端的轻量化模型设计与自动化压缩，包括剪枝、蒸馏、量化与NAS（占位）。
TinyML 与硬件感知共设计
软硬件一体化方法，针对微控制器与专用加速器进行算法-架构共设计（占位）。
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View allProject Orion：超低时延边缘视觉
Real-time on-camera detection and tracking with 12 ms end-to-end latency (placeholder).
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