Deemed by OODA Loop as one of the best policy research organizations that they track and analyze, the article gives an overview of CSET's latest brief on the U.S. retention of foreign STEM talent.

Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the associated number of graduates. The authors find that few AI and AI-related degrees and certificates are being awarded today. They propose five recommendations to address existing challenges and harness the potential of these institutions to train tomorrow’s AI workforce.

This issue brief uses data from the National Science Foundation’s Survey of Doctorate Recipients to explore how many of the international students who earn STEM PhDs from U.S. universities stay in the country after graduation. The authors trace the journeys that these graduates take through the immigration system and find that most remain in the United States long after earning their degrees.

In an interview with Fortune, Margarita Konaev breaks down Russia's AI ambitions and how the current economic sanctions are hindering it progress.

If the U.S. is to succeed in semiconductor manufacturing, the recruitment of foreign-born talent to the U.S. is needed according to Research Analyst Will Hunt in an interview with the South China Morning Post.

CSET Research Fellow Diana Gehlhaus and a panel of distinguished experts discussed steps the United States should take to ensure a robust AI and AI-literate workforce in the future.

Margarita Konaev discussed Russia's stalled AI progress as a result of new technology sanctions and brain drain.

Research Fellow Diana Gehlhaus calls for coordination across the DOD to cultivating talent who can advance the use of AI in an opinion piece for Defense One.

The strength of a country’s talent pipeline depends in no small part on the quality of its universities. This data brief explores how Chinese and U.S. universities perform in two different global university rankings, why their standings have changed over time, and what those trends mean for graduates.

In the past decade, Chinese researchers have become increasingly prolific authors of highly cited AI publications, approaching the global research share of their U.S. counterparts. However, some analysts question the impact of Chinese publications; are they well respected internationally, and do they cover important topics? In this data brief, the authors build on prior analyses of top AI publications to provide a richer understanding of the two countries’ contributions to high-impact AI research.