Pioneering The Future Advanced Computing Ecosystem: A Strategic Plan

View Full Text:  Future-Advanced-Computing-Ecosystem-Strategic-Plan-Nov-2020.pdf

This strategic plan envisions a future advanced computing ecosystem that provides the foundation for continuing American leadership in science and engineering, economic competitiveness, and national security. It develops a whole-of-nation approach based on input from government, academia, nonprofits, and industry sectors, and builds on the objectives and recommendations of the "2019 National Strategic Computing Initiative Update: Pioneering the Future of Computing". This strategic plan also identifies agency roles and responsibilities and describes essential operational and coordination structures necessary to support and implement its objectives.

Recommendations for Leveraging Cloud Computing Resources for Federally Funded Artificial Intelligence Research and Development

View Full Text:  Recommendations-Cloud-AI-RD-Nov2020.pdf

This report is a product of interagency collaboration, led by the National Science and Technology Council (NSTC) Select Committee on AI and Subcommittee on Machine Learning and AI (MLAI), that is one of several measures responding to the February 11, 2019, Executive Order on Maintaining American Leadership in Artificial Intelligence. The report details four key recommendations for leveraging cloud computing resources for federally funded artificial intelligence (AI) research and development (R&D). Cloud platforms provide robust, agile, reliable, and scalable computing capabilities, which can help accelerate advances in AI. Cloud computing can also democratize access to the powerful computing capabilities needed for many types of AI R&D. This report is another step in the overall Federal Government strategy to position the United States as the world leader in artificial intelligence.

NATIONAL CYBERSECURITY CAREER AWARENESS WEEK: RESOURCES FOR A CYBERSECURITY CAREER

Information technology (IT) is part of every aspect of modern life. Emerging technologies such as high-speed mobile networking and smart cities promise that cyberspace will continue to offer exceptional benefits to society. However, as society uses IT more there is greater potential for adversaries to create disruption and destruction through malicious cyber activities, making advances in cybersecurity imperative. NITRD works with its member agencies to coordinate cybersecurity research and development. But there is a shortage of qualified cybersecurity workers and the demand is increasing. NITRD’s member agencies are leading efforts to develop cyber expertise and build a workforce capable of facing real-world cybersecurity challenges.

Cybersecurity is one of the fasting growing careers in the U.S. Are you a student or know someone who is interested in a cybersecurity career? Confused on where to start? Wondering what are the options in cybersecurity? Take a look at the extensive amount of information on  the Resources for a Cybersecurity Career webpage as you explore a career in cybersecurity. Check out the programs for K-12, undergraduate and graduate students, and post-graduates! You will find resources for students, educators, and others spanning information about internships, scholarships, schools with cyber programs, cyber camps, and so much more!

Explore the opportunities for innovation and excitement working in cyber!

NITRD'S SPOTLIGHT ON CYBERSECURITY CAREERS

November 9-14, 2020 is National Cybersecurity Career Awareness Week. Check out NITRD’s Spotlight on Cybersecurity Careers and see why people in cybersecurity share a passion and a path to an exciting career!

Explore the opportunities for innovation and excitement working in cyber!

AI R&D INVESTMENTS DASHBOARD

View Full Text:  AI R&D Investments Dashboard

In support of Executive Order 13859, "Maintaining American Leadership in Artificial Intelligence", and The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update, NITRD worked with Federal agencies to establish a process to accurately account for AI R&D investments, given that R&D in AI intersects with multiple PCAs. (AI R&D Investments Dashboard, Table 1, footnote 4, gives examples of distinctions between AI and other PCAs.)