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Red AI: Victories and Warnings from China's Rise in Artificial Intelligence

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Red AI: Victories and Warnings from China's Rise in Artificial Intelligence

By: Nina Xiang
Narrated by: Martina Federica Manfredi
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About this listen

Red AI: Victories and Warnings From China’s Rise in Artificial Intelligence is the definitive book on one of the most important topics of our time. It is the first thorough investigation of the Chinese AI industry and an insight-filled, intriguing narrative that will shed light on China AI for global policymakers, business, and technology professionals.

This is the first book where listeners gain an insider's peek into the much-hyped industry across all the major segments of AI's commercial applications in China. From facial recognition, surveillance, speech recognition, autonomous driving, robotics, AI chips, healthcare, financial services, and other sectors, the book unveils what is really happening behind the scenes in all these areas.

Author Nina Xiang, a veteran China-based tech journalist who has tracked the Chinese AI industry for years, interviewed hundreds of people and traveled to dozens of Chinese cities to bring the industry alive with vivid detail. Nina Xiang presents a sweeping overview of an industry that is still largely misunderstood.

About the Author

Nina Xiang is the founder of China Money Network, a news and data platform tracking China’s smart investments and technology innovation.

After graduating as the valedictorian in high school in China, she went on a distinguished journalism career serving in editorial positions at Bloomberg BusinessWeek, Euromoney Institutional Investor, China Radio International, and China Business Network in Beijing, New York, Shanghai, and Hong Kong. With nearly 15 years of media experience and as an expert on the Chinese venture capital and technology sector, she is an agenda contributor for the World Economic Forum and contributes to foster cross-border technology cooperation.

©2019 Nina Xiang (P)2019 Nina Xiang
Engineering China Technology Data Science Business Artificial Intelligence Machine Learning Innovation Robotics Computer Science

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