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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Rethinking software engineering in the AI era

Yangqing Jia (Facebook)
10:20–10:35 Wednesday, 10 October 2018
Implementing AI
Location: King's Suite
Secondary topics:  Computer Vision, Edge computing and Hardware

With the breakthrough of AI and deep learning technologies, conventional software engineering practices have been evolving significantly to pair with the advances of large-scale data, computation, and algorithmic evolution. Yangqing Jia shares a series of examples to illustrate the uniqueness of AI software and its connections to conventional computer science wisdom. Yangqing then discusses future software engineering principles for AI compute.

Photo of Yangqing Jia

Yangqing Jia


Yangqing Jia is director of engineering for Facebook’s AI platform team, which develops general-purpose open source AI solutions that serve as the backbone of Facebook AI products, such as ranking, computer vision, natural language processing, speech recognition, mobile AI, and AR. He has been influential in developing an open source deep learning software stack, many of the components of which serve as the de facto industry standard in AI. He is the creator or cocreator of Caffe, TensorFlow, Caffe2, ONNX, and PyTorch 1.0. Lately, he has been focused on the design and evolution of the AI hardware and software ecosystem and the combination of AI research and conventional wisdom of computer science.

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