Group items tagged

The MPS DC is expected to be the central clearinghouse for TC data management, and will incorporate novel approaches and technologies for data management, data mining and meta-analyses, and data sharing across many organs and tissues, diseases, data types, and TC platforms. The MPS Data center is expected to provide different levels of public and tiered access to TC information for basic and clinical researchers, academic and practicing physicians, the pharmaceutical industry, NIH, FDA and other government agencies, patients, and the lay public. The MPS Data Center will work with IQ Consortium members to develop and make available a secure, customizable coordinated data management system for collection, storage, and analyses of diverse data types from multiple TC platforms being developed and used for drug screening, safety and efficacy testing.

Modeling-Enhanced Innovations Trailblazing Nuclear Energy Reinvigoration (MEITNER) Agency Overview The Advanced Research Projects Agency - Energy (ARPA-E), an organization within the Department of Energy (DOE), is chartered by Congress in the America COMPETES Act of 2007 (P.L. 110-69), as amended by the America COMPETES Reauthorization Act of 2010 (P.L. 111-358) to: "(A) to enhance the economic and energy security of the United States through the development of energy technologies that result in- (i) reductions of imports of energy from foreign sources; (ii) reductions of energy-related emissions, including greenhouse gases; and (iii) improvement in the energy efficiency of all economic sectors; and (B) to ensure that the United States maintains a technological lead in developing and deploying advanced energy technologies."

This Other Transaction Solicitation (OTS) Call (70RSAT18R00000002) - Land Border Biometric Exit Facial Recognition Verification Technologies - is issued against Department of Homeland Security (DHS), Science & Technology (S&T), Silicon Valley Innovation Program (SVIP), 5-Year Innovation Other Transaction Solicitation (OTS), HSHQDC-16-R-B0005 (current issue). The OTS describes the overarching program details whereas the call describes the specific problem set. The implementation of a biometric exit system at U.S. Ports of Entry (POEs) along land borders remains a challenge for several reasons including, but not limited to: environmental conditions, speed of travel, and lack of infrastructure. At land-based POEs, infrastructure is a key inhibitor to track the exit of travelers using biographic or biometric data. In addition, the need for uninhibited vehicle traffic flow at land borders is perhaps the greatest challenge for land-border POEs. To avoid having travelers in vehicles stop at border crossings, which could create significant traffic delays, U.S. Customs and Border Protection (CBP) is working to implement a face biometric entry-exit system in a way that poses the least impact on travel and trade. This call is looking for innovative solutions to capture facial recognition quality photos from travelers in order to facilitate identity checks without requiring occupants to leave the vehicle.

Communities in the United States (US) and around the world are entering a new era of transformation in which residents and their surrounding environments are increasingly connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity, but poses significant challenges at the complex intersection of technology and society. The goal of the NSF Smart and Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering foundations that will enable smart and connected communities to bring about new levels of economic opportunity and growth, safety and security, health and wellness, and overall quality of life. This goal will be achieved through integrative research projects that pair advances in technological and social dimensions with meaningful community engagement.

Secretary of the Air Force Heather Wilson announced in September 2017 inception of the "S&T Strategy 2030" study. The study's objective is to update the Air Force methods for conducting research and development (R&D) to meet the projected national security challenges of 2030. Secretary Wilson appointed the Air Force Research Laboratory (AFRL) to lead this strategy development.The Air Force's goals for the study are: 1. Evaluate technical approaches and focus areas to advance the Air Force's mission through R&D; and 2. Improve Air Force processes and organizational structures to manage early stage research.

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data. ECCS, through its ASCENT program, offers its engineering community the opportunity to address research issues and answer engineering challenges associated with complex systems and networks that are not achievable by a single principal investigator or by short-term projects and can only be achieved by interdisciplinary research teams. ECCS envisions a connected portfolio of transformative and integrative projects that create synergistic links by investigators across its three ECCS clusters: Communications, Circuits, and Sensing-Systems (CCSS), Electronics, Photonics and Magnetic Devices (EPMD), and Energy, Power, Control, and Networks (EPCN), yielding novel ways of addressing challenges of engineering systems and networks. ECCS seeks proposals that are bold and ground-breaking, transcend the perspectives and approaches typical of disciplinary research efforts, and lead to disruptive technologies and methods or enable significant improvement in quality of life.

The program supports four main research themes that are envisioned to advance the goal of ubiquitous co-robots:scalability,customizability,lowering barriers to entry, andsocietal impact,includinghuman safety. Topics addressingscalabilityinclude how robots can collaborate effectively with orders of magnitude more humans or other robots than is handled by the current state of the art; how robots can perceive, plan, act, and learn in uncertain, real-world environments, especially in a distributed fashion; and how to facilitate large-scale, safe, robust and reliable operation of robots in complex environments.Customizabilityincludes how to enable co-robots to adapt to specific different tasks, environments, or people, with minimal modification to hardware and software; how robots can personalize their interactions with people; and how robots can communicate naturally with humans, both verbally and non-verbally. Topics inlowering barriers to entryshould focus on lowering the barriers for conducting fundamental roboticsresearchand research on integrated robotics application. This may include development of open-source co-robot hardware and software, as well as widely-accessible testbeds. Outreach or using robots in educational programs do not, by themselves, lower the barriers to entry for robotics research. Topics insocietal impactinclude fundamental research to establish and infuse robotics into educational curricula, advance the robotics workforce through education pathways, and explore the social, economic, ethical, security, and legal implications of our future with ubiquitous collaborative robots.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data.

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements.

NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness. At the same time, broad acceptance of large-scale deployments of AI systems relies critically on their trustworthiness which, in turn, depends upon the collective ability to ensure, assess, and ultimately demonstrate the fairness, transparency, explainability, and accountability of such systems. Importantly, the beneficial effects of AI systems should be broadly available across all segments of society. NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, validation of fairness, and considerations of inclusivity. Funded projects will enable broadened acceptance of AI systems, helping the U.S. further capitalize on the potential of AI technologies. Although Amazon provides partial funding for this program, it will not play a role in the selection of proposals for award.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data.

Solid research is the underlying driving force to crystallize fearless creativity and innovation. While we are committed to run in-house research and engineering, we are also excited to collaborate with academic partners to facilitate exploration of new and promising research. The Sony Focused Research Award provides an opportunity for university faculty and Sony to conduct this type of collaborative, focused research. The award provides up to $150K USD* in funds, and may be renewed for subsequent year(s). A list of candidate research topics appears below: - Manipulation Secure Image Sensing - Self-Supervised Learning for Spiking Neural Networks with Event-Based Vision Sensor - Deep Learning & Deep Fusion Towards Automotive Scene Perception - Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision - Robust Mesh Tracking for Volumetric Capture - Advanced Image Processing Enabled by AI - Novel Actuator - Machine Learning/AI for Wireless Communications - Reconfigurable Reflector Type Materials - Individual Treatment Effect Estimation - Acoustic Metamaterials - Novel Technologies for GaN-based VSCELs - Intelligent Sensing of Patient-Reported Outcomes

DOE-NE's mission is to encourage development and exploration of advanced nuclear science and technology. DOE-NE promotes nuclear energy as a resource capable of meeting the nation's energy, environmental, and national security needs by resolving scientific, technical, and regulatory challenges through research, development, and demonstration. IUP supports DOE-NE's Nuclear Energy University Program (NEUP), which enables outstanding, cutting-edge, and innovative research at U.S. IHEs through the following: * Integrating research and development (R&D) at U.S. IHEs, national laboratories, and industry to revitalize nuclear education and support NE'sPrograms * Attracting the brightest students to the nuclear professions and supporting the nation's intellectual capital in science and engineering disciplines * Improving U.S. IHE's infrastructure for conducting R&D and educating students * Facilitating knowledge transfer to the next generation ofworkers Educating undergraduate and graduate students in NS&E will: * Support the ongoing need for personnel who can develop and maintain the nation's nuclear power technology * Enhance the R&D capabilities of U.S. IHEs * Fulfill national demand for highly trained scientists and engineers to work in NS&E areas

The EBRC (Energetics Basic Research Center) is a basic research program initiated by the Combat Capabilities Development Command/Army Research Laboratory/ARO. It focuses on areas of strategic importance to U.S. national security. It seeks to increase the Army's intellectual capital in energetic materials (EM) and improve its ability to address future challenges. EBRC brings together universities, research institutions, companies, and individual scholars and supports multidisciplinary and cross-institutional projects addressing specific topic areas determined by the Department of the Army (DA). The EBRC aims to promote research in specific areas of EMs and to promote a candid and constructive relationship between DA and the energetics research community. The future Army is projected to be unable to achieve dominance in range and lethality due to inadequate energetic formulations and form factor limitations associated with current weapon systems. Basic research generates new knowledge that may be exploited to develop and deliver new materials and technologies that contribute to enhanced lethal effects at the system level as well as increased range and a smaller payload. These, in turn, enable space for larger, mission-critical systems, and shorter time-to-target ensuring Army battlefield dominance in Multi-Domain Operations. Army research must encompass new ways to expedite the discovery, design, and scale-up of new materials and concepts which when integrated into newly designed weapons components (e.g. additively manufactured high strength steels with pre-formed fragmentation patterns, and structural reactive materials) developed at ARL and across the Army and DoD communities, will deliver decisive weapons overmatch.

The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both encouraged.

In December 2011, the National Science and Technology Council (NSTC) with the cooperation of NSF issued a broad, coordinated Federal strategic plan for cybersecurity research and development to "change the game," minimize the misuses of cyber technology, bolster education and training in cybersecurity, establish a science of cybersecurity, and transition promising cybersecurity research into practice. This challenge requires a dedicated approach to research, development, and education that leverages the disciplines of mathematics and statistics, the social sciences, and engineering together with the computing, communications and information sciences.

The core technology to be developed in this program is the capability to automatically elicit information from a malicious adversary in order to identify, disrupt, and investigate social engineering attacks. ASED will do this by mediating communications between users and potential attackers with bots that actively detect attacks and coordinate investigations to discover the identity of the attacker.