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THE CONVERGENCE OF HIGH PERFORMANCE COMPUTING, BIG DATA, AND MACHINE LEARNING

(September 9, 2019)

The high performance computing (HPC) and big data (BD) communities are evolving in response to changing user needs and technological landscapes. Researchers are increasingly using machine learning (ML) not only for data analytics but also for modeling and simulation; science-based simulations are increasingly relying on embedded ML models not only to interpret results from massive data outputs but also to steer computations. Science-based models are being combined with data-driven models to represent complex systems and phenomena. There also is an increasing need for real-time data analytics, which requires large-scale computations to be performed closer to the data and data infrastructures, to adapt to HPC-like modes of operation. These new use cases create a vital need for HPC and BD systems to deal with simulations and data analytics in a more unified fashion.

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FUTURE COMPUTING COMMUNITY OF INTEREST MEETING OF AUGUST 5-6, 2019

(September 9, 2019)

The Future Computing (FC) Community of Interest (CoI) meeting on August 5–6, 2019, explored the evolving computing landscape to inform agencies about potential opportunities as well as gaps in the Nation’s future computing objectives. The meeting focused on where computing will be in the next decade and beyond while also looking at emerging and future applications. It considered the need for new software concepts and approaches to effectively capitalize on new hardware architectures and paradigms. The long period of sustained growth in computing power over the last five decades, characterized by Moore’s Law and Dennard Scaling, is expected to end over the next decade. The continued improvement in computing performance will now require moving to new modalities and new means of cooperation and partnership for the benefit of the Nation.

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2019 MAGIC DATA LIFE CYCLE SERIES

(July 23, 2019)

The Middleware and Grid Interagency Coordination Team (MAGIC), an public-private team under NITRD’s Large Scale Networking Interagency Working Group, meets monthly to discuss current and future technologies and collaboration activities in the distributed computing.

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REQUEST FOR INFORMATION ON VIA TASK FORCE REPORT: R&D OPPORTUNITIES IN VIDEO & IMAGE ANALYTICS

(July 18, 2019)

On behalf the National Science and Technology Council (NSTC) Committee on Science & Technology Enterprise, NITRD NCO requests input from all interested parties on the VIA Task Force Report: R&D Opportunities in Video & Image Analytics including from those working on Artificial Intelligence (AI) and/or VIA research and development (R&D). Responses to this Request for Information (RFI) can be general suggestions of revisions or improvements to the VIA Task Force Report, comments on the six strategic goals and objectives, and suggestions to the implementation of the strategic goals and objectives. The public input provided in response to this RFI will inform NITRD NCO, and the VIA Task Force on developing the VIA Task Force Report: R&D Opportunities in Video & Image Analytics.

84-FR-29884

NOTICE OF LISTENING SESSION ON INTEROPERABILITY OF MEDICAL DEVICES, DATA, AND PLATFORMS TO ENHANCE PATIENT CARE

(June 25, 2019)

This listening session will focus on the interoperability of medical devices, data, and platforms to enhance patient care. Federal stakeholders will listen to the community explore solutions that promote a shared future vision of next generation, interoperable, and intelligent health systems. The feedback received from the listening session will provide potential research directions for advancing medical device interoperability.

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THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN: 2019 UPDATE

(June 21, 2019)

Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On February 11, 2019, the President signed Executive Order 13859, Maintaining American Leadership in Artificial Intelligence. This order launched the American AI Initiative, a concerted effort to promote and protect AI technology and innovation in the United States. The Initiative implements a whole-of-government strategy in collaboration and engagement with the private sector, academia, the public, and like-minded international partners. Among other actions, key directives in the Initiative call for Federal agencies to prioritize AI research and development (R&D) investments, enhance access to high-quality cyberinfrastructure and data, ensure that the Nation leads in the development of technical standards for AI, and provide education and training opportunities to prepare the American workforce for the new era of AI.