from the superp chinaai newsletter
We get reacquainted with excellent work by the Qianyan Chanye Research Institute
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Welcome to the ChinAI Newsletter!
- I only had time this week to do a quick scan of the first 18 slides and did a few quick-and-dirty translations of interesting sections (if there’s no comment on the slide that means I probably didn’t do any translations on it).
- ****I’ll circle back to this every now and then to translate more chunks, but if you’re keen to help out with the whole thing, let me know! In a previous issue, an anonymous ChinAI contributor and I translated a 5G PPT slide deck that went viral in China and became recommended reading for all Huawei staff. There’s been lots of good discussion happening in the comments of that translation, and I hope the same happens for this one.
- Three-layer (Foundation-Technology-Application) division of China’s AI industry : Slide 5’s specification of the different layers of AI is the first clear sign that this is good stuff. Representative companies in the foundation layer (slide 6) includes usual suspects like Cambricon, Horizon Robotics in chips; Baidu, Haiyun Shuju in big data; BAT in cloud computing, Huawei in 5G.
- What stood out about the representative companies in various layers of China’s AI industry (slide 6-8): Datatang is listed as a key big data company. We analyzed their involvement in a turning point case in personal information protection in ChinAI #19. Ultrapower shows up in more verticals than Alibaba and Tencent in the foundation layer — we did a ChinAI Company Profile of them in ChinAI #63.
- Ping An is the most important company in China’s AI landscape that you’ve never heard of: nominally an insurance company but transforming quickly into a tech company, they are everywhere in the foundation (including cloud computing) and application layers. However, they don’t show up in any of the verticals in the technology layer.
- Slide 18 on China’s AI talent Training System was particularly instructive:
ChinAI Links (Four to Forward)
Must-read: DigiChina Special Report: AI Policy and China — Realities of State-Led Development (Edited by Graham Webster)
Should-read: Translations related to China’s AI Policy by Center for Security and Emerging Technology
- AI features heavily in three of the six themes: intelligent detection/identification and autonomous control technology; brain-machine intelligence and biological interdisciplinary technologies; highly reliable information security and new types of technology
- Nothing in first 2 themes was that surprising (cloud-based intelligent target recognition and tracking, intelligent decision-making for virtual battlefield environments, intelligentized exoskeleton technology); the third theme was more interesting to me and included key tasks such as “intelligent mining technology” for firmware vulnerabilities as well as big data analysis-based intelligent fixed decryption technology for electronic documents
- There’s a story/report waiting to be written about Tianjin’s technology policy (remember: Tianjin was one of the first cities to set up a big AI fund. “While many Chinese local governments have published military-civil fusion plans, Tianjin’s is among the most detailed,” per CSET’s summary.
- A lot of the initiatives in here sound very ambitious (“build an authoritative IoT perception testing and authentication center for the state, military, and industrial sectors in Tianjin’s Binhai New District!”), but I’m also reminded of the empty promise of the Tianjin Eco-city.