NSF funding will help U.S. UU. Harness the full potential of AI to strengthen the economy, promote employment growth and provide benefits to society for decades. An official website of the United States government Official websites use.
Government A. The gov website belongs to an official government organization in the United States. Welcome to the new NSF and government experience. Take a short survey to share your feedback.
Led by the NSF and in partnership with the U.S. Department of Agriculture, National Institute of Food and Agriculture, USA. The Department of Homeland Security, Google, Amazon, Intel and Accenture and national AI research institutes will act as connections in a broader national network to pursue transformative advances in a variety of economic sectors and fields of science and engineering, from food system security to next-generation peripheral networks. Through AI research institutes led by the NSF, as well as a number of ongoing programs, the NSF supports fundamental research, education and workforce development, and advanced and scalable computing resources that, together, improve fundamental research in AI.
The NSF's ability to bring together numerous fields of scientific research, including computer science and engineering, along with cognitive science and psychology, economics and game theory, engineering and control theory, ethics, linguistics, mathematics and philosophy, uniquely positions the agency to lead the country in expanding the frontiers of AI. The NSF's roots in these issues go back decades. Harness the full potential of AI to strengthen the economy, promote employment growth and provide benefits to society for decades to come. For AI, one of the 10 big ideas of the NSF is to take advantage of the data revolution and the future of work on the border between humans and technology.
Future of Work allows us to understand how constantly evolving technologies are actively shaping the lives of workers and how people, in turn, can shape those technologies, especially in the world of work. This big idea brings together NSF research communities to conduct fundamental scientific research on the interaction of human beings, society and technology that will help shape the future of work in order to increase opportunities for workers and the productivity of the U.S. economy. AI and society, with the joint support of the Alliance on AI, the NSF Directorates of Computer and Information Science and Engineering and Social, Behavioral and Economic Sciences, together with the Association on AI, have jointly supported early-concept grants for exploratory research to understand the social challenges that arise from AI technology and allow scientific contributions to overcome them.
With the increase in the scale and diversity of implementations of AI systems, there is a need to better understand AI in the open world, including unforeseen circumstances and social impacts, and to develop AI approaches that take them into account from the start. Equity, Ethics, Accountability and Transparency The NSF invites researchers to submit proposals for its core programs that contribute to discovering in research and practice equity, ethics, accountability and transparency in computer and information science and engineering, including AI. The NSF Artificial Intelligence Equity Program, in collaboration with Amazon, NSF and Amazon, have partnered to jointly support research focused on equity in AI, with the goal of contributing to the creation of reliable AI systems that are easily accepted and deployed to address the major challenges facing society. Specific topics of interest include, among others, transparency, explicability, accountability, possible biases and adverse effects, mitigation strategies, the validation of equity, and the consideration of inclusiveness.
Real-time machine learning The NSF and the Defense Advanced Research Projects Agency (DARPA) have teamed up to explore high-performance, energy-efficient hardware and machine learning architectures that can learn from a continuous flow of new data in real time. Both agencies issued calls for proposals focusing on machine learning in real time and now offer collaboration opportunities to the winners of both programs for the duration of their projects. This partnership contributes significantly to laying the groundwork for the joint design of next-generation algorithms and hardware. Graduate Research Scholarships The GRF program recognizes and supports outstanding graduate students in STEM disciplines supported by the NSF, including AI and data science, who are pursuing research-based master's and doctorates in accredited U.S.
NSF Research Internships The internship program is designed to encourage the development and implementation of bold, new, and potentially transformative models for graduate training in STEM. The program is dedicated to the effective training of graduate students in STEM in high-priority interdisciplinary or convergent research areas. NSF leaders play an important role in helping to promote and coordinate AI R&D across federal agencies through the National Council on Science and Technology, a cabinet level council that serves as the primary means for the president to coordinate science and technology policies across the executive branch. The Deputy Deputy Director of the NSF CISE co-chairs the Machine Learning and AI Subcommittee of the NSTC Science Committee, which acts as the implementation arm of the AI Select Committee.
The Deputy Director of the NSF CISE co-chairs the Network and Information Technology Research and Development Subcommittee of the NSTC Science and Technology Business Committee. NITRD coordinates U.S. efforts. Federal agencies that, together, constitute the nation's main source of federally funded research on advanced information technologies in computing, networking and software.
The director of the NSF Division of the Information and Intelligent Systems division of CISE co-chairs the NITRD Inter-Agency Artificial Intelligence Research and Development Working Group. Although I would like to delve into this topic in depth, I will restrain myself and tell you about the scholarships that are available for artificial intelligence. GrantWatch publishes new grants on a daily basis, so check the site frequently for additional artificial intelligence grants. The goal of this conference is to provide you with all the information you need to understand where your company fits into these programs and how your project can be financed.
The UNICEF Innovation Fund seeks to make up to 100,000 non-capital investments to provide initial (initial) funding to for-profit emerging technology companies that have the potential to benefit humanity. Scholarships are non-refundable and can be combined with other programs such as CDAE, SR&ED and others up to a maximum of 70%, except for the MEI program, which is 50%. Antoine Cossé from INVEST-AI and Ina Foalea from Scale AI present their respective programs, their differences and similarities, as well as the type of projects funded in recent months. As a company based in Quebec and Canada, there are several grant programs you can use to fund your artificial intelligence ambitions and harness their value for your organization through machine learning.
The funds can be used to pay internal salaries, consulting fees, hardware and infrastructure costs to support the project (Azure, Amazon Web Services, Google Cloud Platform, local infrastructure, to name a few). The Fund has a network of mentors who help emerging teams develop their business model and strategy to grow their companies and, ultimately, make profits. It is the theory and development of computer systems capable of performing tasks that normally require human intelligence, such as visual perception, voice recognition, decision-making and translation between languages. .
