In their op-ed in Newsweek, William Hannas and Huey-Meei Chang discussed the ongoing challenge of China’s technology acquisition and the complexities of U.S.-China collaboration in artificial intelligence (AI).
In their op-ed in Newsweek, Jack Corrigan and Sam Bresnick discuss the recent release of DeepSeek's AI model, R1, which has surprised the global tech industry by matching the performance of leading U.S. models at a lower cost. This development challenges the assumption that restricting China's access to advanced chips would significantly hinder its AI progress.
Daniel Chou offered his expertise in an article published by Newsweek. The article explores the growing concerns surrounding Chinese-made Insta360 action cameras, which are used by NASA, the U.S. Air Force, and other American entities, and their potential role in data collection and espionage.
Mina Narayanan provided her expert insights in an article published by GZERO Media. The article discusses the evolving landscape of AI policy under the incoming administration and the key trends shaping AI regulation, national security, and U.S.-China competition in 2025.
In his Foreign Affairs op-ed, Sam Bresnick discusses China’s ambitious push to develop AI-enabled military technologies, which it views as essential to rival or surpass the U.S. military. While Beijing is investing heavily in AI for improved decision-making, operational precision, and resource allocation, significant challenges remain.
In her Washington Post op-ed, Emelia Probasco shared her expert insights in an op-ed published by The Washington Post. In her piece, she discusses the strategic partnership between defense company Anduril and OpenAI to develop anti-drone technology for the U.S. military.
In his op-ed in DefenseScoop, Jack Corrigan discusses the U.S.'s first national security memorandum on artificial intelligence (AI), which emphasizes large "frontier" models from major tech firms as key to national security and technological leadership. He cautions, however, that this focus could stifle broader AI innovation and create reliance on costly, resource-intensive systems.
This report proposes an approach to systematically identify promising research using big data and analyze that research’s potential impact through structured engagements with subject-matter experts. The methodology offers a structured way to proactively monitor the research landscape and inform strategic R&D priorities.
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