Read our original translation of the 2022 budget for the Chinese Academy of Sciences.

The Chinese military’s progress in artificial intelligence largely depends on continued access to high-end semiconductors. By analyzing thousands of purchasing records, this policy brief offers a detailed look at how China’s military comes to access these devices. The authors find that most computer chips ordered by Chinese military units are designed by American companies, and outline steps that the U.S. government could take to curtail their access.

Adversarial patches are images designed to fool otherwise well-performing neural network-based computer vision models. Although these attacks were initially conceived of and studied digitally, in that the raw pixel values of the image were perturbed, recent work has demonstrated that these attacks can successfully transfer to the physical world. This can be accomplished by printing out the patch and adding it into scenes of newly captured images or video footage.

CSET Senior Fellow Andrew Lohn testified before the House of Representatives Homeland Security Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation at a hearing on "Securing the Future: Harnessing the Potential of Emerging Technologies While Mitigating Security Risks." Lohn discussed the application of AI systems in cybersecurity and AI’s vulnerabilities.

As an integral player in advanced semiconductor supply chains, the United States enjoys advantages over China in producing and accessing chips for artificial intelligence and other leading-edge computing technologies. However, a lack of domestic production capacity threatens U.S. semiconductor access. The United States can strengthen its advantages by working with allies and partners to prevent China from producing leading-edge chips and by reshoring its own domestic chipmaking capacity.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the tenth and final in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). We encourage you to explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector, and keep an eye out for updates on a new and expanded PARAT 2.0 in the future.

See our original translation of the 2022 budget for the PRC Ministry of Public Security.

Read our original translation of the 2022 budget for China’s Ministry of Education.

Read our original translation of a white paper from a Chinese think tank describing the state of AI in China and the world.

China’s State Key Laboratory system drives the country’s innovation in science and technology. A key part of China’s aim to reduce its dependence on foreign technology, these labs conduct cutting-edge basic and applied research, attract and train domestic and foreign talent, and conduct academic exchanges with foreign counterparts. These laboratories are spread across almost all Chinese provinces except Tibet, with the majority clustered in large coastal cities.