Reuters cited a report by Emily S. Weinstein and Ngor Luong from CSET. The report focuses on identifying the primary American investors involved in the Chinese artificial intelligence market and highlights the list of AI companies in China that have received investments from the United States.
The White House supports transparency in American investment in critical sectors in China, but current export controls are not sufficient to prevent out-bound investment issues according to Research Fellow Emily Weinstein.
China's use of guidance funds serves to deploy massive amounts of capital in support of strategic and emerging technologies. According to a CSET report, there were more than 1,300 city and district guidance funds by 2019. One city in central China has at least ten of them.
Between 2012 and 2018, the amount of computing power used by record-breaking artificial intelligence models doubled every 3.4 months. Even with money pouring into the AI field, this trendline is unsustainable. Because of cost, hardware availability and engineering difficulties, the next decade of AI can't rely exclusively on applying more and more computing power to drive further progress.
Militaries around the world have often relied on the largest global defense companies to acquire and integrate cutting-edge technologies. This issue brief examines the investment and mergers and acquisition activities in artificial intelligence of the top 50 global defense companies — a key, if limited, approach to accessing AI innovation in the commercial sector — and assesses investment trends of their corporate venture capital subsidiaries and offers a geographic breakdown of defense companies and their AI target companies.
Margarita KonaevAndrew ImbrieRyan FedasiukEmily S. WeinsteinKaterina SedovaJames Dunham
| August 2021
Chinese and Russian government officials are keen to publicize their countries’ strategic partnership in emerging technologies, particularly artificial intelligence. This report evaluates the scope of cooperation between China and Russia as well as relative trends over time in two key metrics of AI development: research publications and investment. The findings expose gaps between aspirations and reality, bringing greater accuracy and nuance to current assessments of Sino-Russian tech cooperation.
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