Read our original translation of a 2017 PRC report that lists all of China's state key laboratories and summarizes their key accomplishments from the previous year.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fourth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

CSET Research Fellow Caroline Schuerger testified before the Bipartisan Commission on Biodefense hearing on "The Biological Threat Expanse" Current and Future Challenges to National Biodefense." She discussed threats to the bioeconomy and steps the U.S. and its allies can take to harness biotechnology's capabilities and raise awareness of risky research.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the third in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

CSET submitted this comment to the Department of Commerce to inform incentives, infrastructure, and research and development needed to support a strong domestic semiconductor industry.

Like traditional software, vulnerabilities in machine learning software can lead to sabotage or information leakages. Also like traditional software, sharing information about vulnerabilities helps defenders protect their systems and helps attackers exploit them. This brief examines some of the key differences between vulnerabilities in traditional and machine learning systems and how those differences can affect the vulnerability disclosure and remediation processes.

Read our original translation of "Made in China 2025." One of China’s most important industrial policies, it sets milestones for China to reach by 2020 and 2025 in service of its goal of upgrading the PRC manufacturing sector.

This brief illuminates the scale of Chinese government funding for higher education, science, and technology by exploring budget and expense reports for key government organizations and 34 of China’s most elite “Double First Class” universities. Chinese political leaders view elite universities as key components of the country’s military modernization, economic growth, and soft power; a situation that presents security risks for international partners.

CSET submitted this comment to the Office of Science and Technology Policy on updating the National Artificial Intelligence Research and Development Strategic Plan.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the second in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.