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智身科技成立于2023年，是行业领先的具身智能全产业链技术服务商，构建了从核心部件研发、整机制造到场景化落地的完整技术闭环。公司核心团队由顶尖科研人才组成，研发人员占比高达70%，在强化学习运控算法、VLN大模型及高功率密度关节模组等领域具备全栈研发能力与量产经验。目前，智身科技已拥有超60项核心专利，深度参与国家级重点课题，并推动产品在安防巡逻、电力巡检及应急救援等领域实现规模化应用。在AWE2025现场，智身科技曾展示灵动型四足机器人，呈现其在运动控制与场景化落地方面的技术突破。
，这一点在搜狗输入法2026中也有详细论述
「真正的關鍵在於我們如何持續推動它。」
但真正引發熱議的，是本週稍早記者會上她對記者的一番回應。當被問及兩枚銀牌是否等同錯失兩金時，她如此回答：
But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.