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Put AI to work
April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN
Kaz Sato

Kaz Sato
Staff Developer Advocate, Google

Website | @kazunori_279

Kaz Sato is a staff developer advocate on the Cloud Platform team at Google, where he leads the developer advocacy team for machine-learning and data analytics products such as TensorFlow, the Vision API, and BigQuery. Kaz has been leading and supporting developer communities for Google Cloud for over seven years, is a frequent speaker at conferences, including Google I/O 2016, Hadoop Summit 2016 San Jose, Strata + Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and has hosted FPGA meetups since 2013.


13:1013:50 Friday, April 13, 2018
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Secondary topics:  AI应用的硬件、软件栈(Hardware and Software stack for AI applications)
Kaz Sato (Google)
The tensor processing unit (TPU) is a LSI designed by Google for neural network processing. The TPU features a large-scale systolic array matrix unit that achieves outstanding performance-per-watt ratio. Kazunori Sato explains how a minimalistic design philosophy and a tight focus on neural network inference use cases enables the high-performance neural network accelerator chip. Read more.