The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
Perceptually Enabled Software
A White Paper for the Workshop on New Visions for Software Design and Productivity
By Paul Robertson and Howie Shrobe
MIT AI Lab
Our vision of ubiquitous computing is that our environment will be heavily populated by devices under computer control, and that these devices will be interconnected and interfaced with each other and with us. Many of the devices under computer control will be sensors that provide a window from the world of interconnected computation into the physical world around us. Our view of ubiquitous computing makes it clear that moving ahead in the sensor, effector arena is not sufficient, we also need our computers to be able to dialogue, and understand both command and context. We understand our world, and communicate with each other via seeing, hearing, speaking and gesturing. If we are not to become enslaved by our ubiquitous computing environments, they will need to communicate with us in the same manner, and understand the context in which such dialogues occur. We focus on what is required of software development tools and methods for building the comprehensive vision systems of the embedded computing future. In particular, we present an example of a self-adaptive software architecture for vision systems, developed by the first author while at Oxford...
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