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PUT AI TO WORK
June 18-21, 2019
Beijing, CN

Schedule: 3小时辅导课 (3-hour Tutorial) sessions

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09:0012:30 Wednesday, June 19, 2019
Location: 紫金大厅B(Grand Hall B)
Alejandro Saucedo (The Institute for Ethical AI & Machine Learning)
Numerous high-profile incidents have proved undesired bias in machine learning a worrying topic. Alejandro Saucedo uses a hands-on example to demystify machine learning bias. You'll automate the loan-approval process for a company and explore key tools and techniques from the latest research that allows you to assess and mitigate undesired bias in machine learning models. Read more.
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09:0012:30 Wednesday, June 19, 2019
Location: 多功能厅5C(Function Room 5C)
Zhichao Li (Intel), Kai Huang (Intel), Yang Wang (Intel)
Zhichao Li, Kai Huang, and Yang Wang show you how to build and productionize deep learning applications for big data using Analytics Zoo—a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline—illustrated though real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA. Read more.
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09:0012:30 Wednesday, June 19, 2019
Location: 报告厅(Auditorium)
Yijing Chen (Microsoft), Dmitry Pechyoni (Microsoft), Angus Taylor (Microsoft), Vanja Paunic (Microsoft), Henry Zeng (Microsoft)
Average rating: *****
(5.00, 2 ratings)
Almost every business today uses forecasting to make better decisions and allocate its resources more effectively. Deep learning has achieved a lot of success in computer vision, text, and speech processing but has only recently been applied to time series forecasting. Join in to learn how and when to apply deep neural networks to time series forecasting. (presented in Chinese and English) Read more.
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09:0012:30 Wednesday, June 19, 2019
Location: 多功能厅8A+B(Function Room 8A+B)
Zhen Zhao (Intel)
Intel OpenVINO provides a highly optimized cross-platform deep learning deployment and visual AI solution based on various Intel architectures. Join Zhen Zhao as she explains the structure and workflow of the Intel OpenVINO toolkit, optimization methods by asynchronies, heterogeneous computing, low-precision inference, and instruction set acceleration. Read more.
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13:3017:00 Wednesday, June 19, 2019
Location: 紫金大厅B(Grand Hall B)
Chris Butler (IPsoft)
Purpose, a well-defined problem, and trust are important factors to any system, especially those that employ AI. Chris Butler borrows from the principles of design thinking to lead you through exercises that help you create more impactful solutions and better align your team. Read more.
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13:3017:00 Wednesday, June 19, 2019
Location: 报告厅(Auditorium)
Henry Zeng (Microsoft), Lu Zhang (Microsoft), xiao zhang (Microsoft)
Average rating: ****.
(4.00, 3 ratings)
Intelligent experiences powered by AI seem like magic, but developing them is cumbersome, involving a series of time consuming sequential and interconnected decisions along the way. What if you had an automated service that could identify the best machine learning pipelines for your given problem or data? Lu Zhang, Henry Zeng, and Xiao Zhang detail how automated machine learning does that. Read more.
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13:3017:00 Wednesday, June 19, 2019
Location: 多功能厅8A+B(Function Room 8A+B)
Richard Liaw (UC Berkeley RISELab), Siyuan Zhuang (UC Berkeley RISELab)
Ray is a general-purpose framework for programming your cluster. Richard Liaw leads a deep dive into Ray, walking you through its API and system architecture and sharing application examples, including several state-of-the-art AI algorithms. Read more.