Tag Archive: Artificial intelligence

The Pentagon has a wide range of research and development programs using autonomy and AI in unmanned vehicles and systems, information processing, decision support, targeting functions, and other areas. This policy brief delves into the details of DOD’s science and technology program to assess trends in funding, key areas of focus, and gaps in investment that could stymie the development and fielding of AI systems in operational settings.

Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments in autonomy and AI, including our assessment of DOD’s research priorities, trends and gaps, as well as ways to ensure U.S. military leadership in AI in the short and the long term.

Russian AI Research 2010-2018

Margarita Konaev and James Dunham
| October 2020

Over the last decade, Moscow has boosted funding of universities and implemented reforms in order to make Russia a global leader in AI. As part of that effort, Russian researchers have expanded their English-language publication output, a key—if imperfect—measure of the country’s innovation and impact. Between 2010 and 2018, the number of English-language publications by Russian scientists in AI-related fields increased six-fold.

Patent Landscape for Computer Vision: United States and China

Simon Rodriguez, Melissa Flagg, and Autumn Toney
| October 2020

China’s surge in artificial intelligence development has been fueled, in large part, by advances in computer vision, the AI subdomain that makes powerful facial recognition technologies possible. This data brief compares U.S. and Chinese computer vision patent data to illustrate the different approaches each country takes to AI development.

Power on the Precipice

September 8, 2020

Former Deputy National Security Advisor hosted Dr. Andrew Imbrie, a senior fellow at CSET, for a discussion on his new book, Power on the Precipice.

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.

Ngor Luong is a State Department Fellow at Georgetown University’s Center for Security and Emerging Technology (CSET)

Zachary Arnold is the Analytic Lead for CSET’s Emerging Technology Observatory.

Helen Toner is Director of Strategy and Foundational Research Grants. She is responsible for determining CSET's strategic direction and areas of research.