Check out this report for useful data sources. "This report presents novel, if preliminary, data to make the case that the United States can work with like-minded allies and partners to forge a democratic way of AI. It offers the first comprehensive analysis of how the United States can cooperate with allies and partners in AI by drawing on several original data sets, including a cross-national survey of official government representatives, a unique coding of national AI strategies, and a comparative assessment of Chinese professional and technology associations in U.S. allied and partner countries. To supplement these measures, we aggregate data from multiple sources to assess U.S. allies and partners according to their capability and compatibility in AI and machine learning."
INFER is a community of researchers, analysts, and passionate forecasters that inform U.S. Government policymaking by generating signals and early warning about the future of science and technology trends and events.
Using a merged corpus of more than 260 million scientific documents, CSET clustered research based on citation links and mapped the clusters spatially using those linkages. The resulting Map provides a visual representation of the landscape of science, with detailed information on more than 123,000 clusters of research including 130 million scientific papers.
CSET’s CAT presents data related to countries' artificial intelligence ecosystems to give an overview of domestic capabilities, as well as insights on competitiveness and collaboration globally. It presents metrics on AI research, patents, and investment-related activities for AI overall and its various subfields.
ETO's Supply Chain Explorer is designed to quickly orient non-experts to the essential inputs, players, and relationships involved in producing advanced computer chips. Use the Explorer to learn how these chips are made, who makes them, and the tools, materials, and processes involved in the supply chain.