Song Yao

CEO of DeePhi Technology | Bachelor Electronic Engineering

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DeePhi Tech aims to provide a highly efficient platform for deep learning and explore the frontier of deep learning applications. We are building a while workflow including algorithm development, deep compression, compilation, and acceleration, to achieve software-hardware co-design and high efficiency. DeePhi Tech was founded by Song Yao, Prof. Yu Wang and Song Han from Tsinghua University and Stanford University. Before establishing DeePhi Tech, the founders have been working on deep learning acceleration research for years and published a series papers include NIPS 2015, ICLR 2016 Best Paper, FPGA 2016, and ISCA 2016. For now, DeePhi Tech has over 100 employees including senior researchers/engineers from Baidu, 360, Siemens, Wind River, and etc. DeePhi Tech has the world's leading deep learning acceleration and compilation techniques. In 2016 August, we presented our technologies and products at Hot Chips together with Intel, ARM, nVIDIA, Samsung, and etc. Our products have been widely used in drones, surveillance cameras, and data centers. DeePhi Tech believes the co-optimization of algorithm, software, and hardware will be the development direction of deep learning. By doing cutting-edge research and work deeply into real-world applications, we want to endow the world with wisdom.

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