scholarly journals Federal inventory of energy-related biomedical and environmental research for FY 1974 and FY 1975. Volume V. National Science Foundation, Department of Commerce, Department of Interior, Department of Agriculture, Department of Defense

1975 ◽  
Author(s):  
Not Given Author

Foreword. Bibliography of Polish mathematics 1944–1954, translated reprint from the Roczniki Polskiego Towarzystwa Matematycznego, seria II, Wiadomości matematyczne, published for the Department of Commerce and the National Science Foundation, Washington, D.C., on the order of Centralny Instytut Informacji Naukowo-technicznej i Ekonomicznej, by Państwowe Wydawnictwo Naukowe, Warsaw 1963 (available from the Office of Technical Services, U.S. Department of Commerce, Washington, D.C., for distribution in U.S.A. only), pp. 1–2. - A. Mostowski and J. Łoś. I. Foundations of mathematics, theory of sets and mathematical logic. Bibliography of Polish mathematics 1944–1954, translated reprint from the Roczniki Polskiego Towarzystwa Matematycznego, seria II, Wiadomości matematyczne, published for the Department of Commerce and the National Science Foundation, Washington, D.C., on the order of Centralny Instytut Informacji Naukowo-technicznej i Ekonomicznej, by Państwowe Wydawnictwo Naukowe, Warsaw 1963 (available from the Office of Technical Services, U.S. Department of Commerce, Washington, D.C., for distribution in U.S.A. only), pp. 4–17. - S. Drobot and S. Straszewicz. XI. History, teaching, popularization and organization of mathematics. Bibliography of Polish mathematics 1944–1954, translated reprint from the Roczniki Polskiego Towarzystwa Matematycznego, seria II, Wiadomości matematyczne, published for the Department of Commerce and the National Science Foundation, Washington, D.C., on the order of Centralny Instytut Informacji Naukowo-technicznej i Ekonomicznej, by Państwowe Wydawnictwo Naukowe, Warsaw 1963 (available from the Office of Technical Services, U.S. Department of Commerce, Washington, D.C., for distribution in U.S.A. only), pp. 120–133.

1966 ◽  
Vol 31 (3) ◽  
pp. 517-517
Author(s):  
Alonzo Church

Author(s):  
Laila Guessous ◽  
Qian Zou ◽  
Brian Sangeorzan ◽  
J. David Schall ◽  
Gary Barber ◽  
...  

Since the summer of 2006, the department of Mechanical Engineering at Oakland University (OU) has been organizing a research experience for undergraduates (REU) program that has been successful at recruiting underrepresented undergraduates in engineering — women in particular. Funded in 2006–2009 and in 2010–2013 through the National Science Foundation REU program and the Department of Defense ASSURE program, this summer REU program focuses on automotive and energy-related research projects. The main purpose of this paper is to share our 6-year experience of organizing and running a summer REU program and to report on the outcomes and short/medium-term assessment results of the program. Also included are some recommendations that we would make to further enhance the success of similar REU programs. We believe that this type of information could prove to be of value to other REU program directors and faculty seeking to organize similar programs.


1989 ◽  
Vol 5 (1) ◽  
pp. 150-151

Twelve federal agencies and one cross agency program spent roughly $2.7 billion in fiscal year 1987 in support of research and development in biotechnology, according to a report by the Congressional Office of Technology Assessment (OTA) that was released today. Federal support of biotechnology has increased every year since 1984.The National Institutes of Health contributed by far the largest share of federal support, approximately $2.3 billion, or 84%; the Department of Defense, $119 million, the National Science Foundation, $93.8 million; the U.S. Department of Agriculture, $84 million, and the Department of Energy $61.4 million, OTA reports.


2020 ◽  
Vol 118 (1) ◽  
pp. e1907856118
Author(s):  
HeeSun Choi ◽  
Cindy Crump ◽  
Christian Duriez ◽  
Asher Elmquist ◽  
Gregory Hager ◽  
...  

The last five years marked a surge in interest for and use of smart robots, which operate in dynamic and unstructured environments and might interact with humans. We posit that well-validated computer simulation can provide a virtual proving ground that in many cases is instrumental in understanding safely, faster, at lower costs, and more thoroughly how the robots of the future should be designed and controlled for safe operation and improved performance. Against this backdrop, we discuss how simulation can help in robotics, barriers that currently prevent its broad adoption, and potential steps that can eliminate some of these barriers. The points and recommendations made concern the following simulation-in-robotics aspects: simulation of the dynamics of the robot; simulation of the virtual world; simulation of the sensing of this virtual world; simulation of the interaction between the human and the robot; and, in less depth, simulation of the communication between robots. This Perspectives contribution summarizes the points of view that coalesced during a 2018 National Science Foundation/Department of Defense/National Institute for Standards and Technology workshop dedicated to the topic at hand. The meeting brought together participants from a range of organizations, disciplines, and application fields, with expertise at the intersection of robotics, machine learning, and physics-based simulation.


AI Matters ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 14-16
Author(s):  
Amy McGovern

NSF AI Institutes In 2019, the National Science Foundation (NSF) launched a new national investment in Artificial Intelligence (AI) to create a network of national AI institutes. Each institute will serve as a nexus of collaboration to create next-generation theory and applications of AI and to work synergistically with academia and industry. In the fall of 2020, NSF announced 5 new NSF AI institutes and 2 additional institutes funded by the United States Department of Agriculture (USDA) and the National Institute of Food and Agriculture (NIFA). Each institute is funded for approximately $20M over 5 years to make significant advances in foundational and applied AI research.


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