Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability. 

While AI innovation would presumably continue in some form without Big Tech, the authors find that breaking up the largest technology companies could fundamentally change the broader AI innovation ecosystem, likely affecting the development of AI applications for national security.

See our translation of the 2019 application process for graduate students at Zhejiang University who wished to participate in a major Chinese government-funded study abroad program.

See our translation of biographical profiles of each member of China's New Generation AI Strategic Advisory Committee, as well as government and media reporting on the committee.

Policymakers continue to debate the ability of the United States to attract and retain top international talent. This Issue Brief assesses how many international Ph.D. graduates across various STEM fields and nationalities intend to stay in the United States after completing their degrees.

China’s strategy to grow its science and technology talent includes: 1) improving domestic education; 2) attracting overseas Chinese talent; and 3) attracting foreign talent. While China’s commitment to domestic education reform has achieved remarkable results, significant challenges remain.

China seeks to develop an indigenous semiconductor industry. It is in the strategic interest of the United States and democratic friends for China to remain reliant on them for state-of-the-art computer chips, especially as Beijing invests heavily in advanced chips.

The United States and its allies must develop targeted and coordinated policies to respond to unwanted Chinese technology transfer—gathering more data, raising awareness of tech transfer, and coordinating investment screening procedures as part of a broader agenda of technology alliance cooperation.

The success of modern AI techniques relies on computation on a scale unimaginable even a few years ago. What exactly are the AI chips powering the development and deployment of AI at scale and why are they essential? Saif M. Khan and Alexander Mann explain how these chips work, why they have proliferated, and why they matter.

As artificial intelligence is applied to new and more complex tasks, the computational power necessary to develop and deploy it will become increasingly expensive. This policy brief offers a concise overview of the full report, “AI Chips: What They Are and Why They Matter.”