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Are you a cancer researcher or data scientist looking to more effectively utilize artificial intelligence (AI) to advance your research? NCI is hosting a virtual workshop focused on methods to ...
The NIST Technology Partnership Office (TPO) oversees the technology transfer processes that NIST researchers use to develop collaborative relationships with regional, national, and global partners. This results in fostering entrepreneurship, ...
The U.S. Food and Drug Administration (FDA) – in collaboration with the University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI) – will host a one-day virtual ...
The National Institute of Standards and Technology (NIST) announces that the National Artificial Intelligence Advisory Committee (NAIAC or Committee) will hold an open meeting in-person and via web conference on ...
he Artificial Intelligence (AI) and Emerging Technologies (ET) Partnership Series will hold its next meeting virtually and in person at the Arts District Mansion in Dallas, Texas on Wednesday, February ...
During February’s Preventive Medicine Grand Rounds, Peter Elkin, MD, will discuss key studies highlighting the principles and methods of artificial intelligence (AI) and machine–learning used to improve the safety and ...
The Emerging Technology Technical Advisory Committee (ETTAC) will meet on January 27, 2023, at 9 a.m., (Eastern Standard Time) in the Herbert C. Hoover Building, Room 3884, 1401 Constitution Avenue ...
In this seminar, the Ersilia Open Source Initiative’s Dr. Gemma Turon and Dr. Miquel Duran-Frigola introduce the benefits of Ersilia’s platform for Artificial Intelligence (AI) and Machine Learning (ML) models. ...
The Task Force shall investigate the feasibility and advisability of establishing and sustaining a National Artificial Intelligence Research Resource; and propose a roadmap detailing how such resource should be established ...
The SACHRP meeting will open to the public at 10:00 a.m., on Wednesday, October 19, 2022, followed by opening remarks from Dr. Jerry Menikoff, Director of OHRP and Dr. Douglas ...
TRUC is a new evaluation conference series that will build the infrastructure required for evaluating aspects of trustworthiness in AI systems. TRUC is distinct from, but related to, the NIST ...
Naval Surface Warfare Center Dahlgren Division (NSWCDD) is seeking game-savvy college and university student innovators to develop artificial intelligence (AI) and machine learning (ML) algorithms for the automated scheduling and ...
The Artificial Intelligence (AI) and Emerging Technologies (ET) Partnership Series will hold its next meeting virtually and in person at the United States Patent and Trademark Office's (USPTO) Silicon Valley ...
Join U.S. Equal Employment Opportunity Commission Chair Charlotte A. Burrows and U.S. Department of Labor’s OFCCP Director Jenny R. Yang for Decoded, a roundtable event to explore potential barriers automated ...
This virtual event is an opportunity to bring stakeholders together to share ideas, experiences, and insights, and to provide a forum for informal discussion of current initiatives, quality, interview practice, ...
The Department of the Air Force’s Chief Data and Artificial Intelligence Office is partnering with the Department of the Air Force-Massachusetts Institute of Technology Artificial Intelligence Accelerator to present its ...
Thanks to the meticulous nature of Human Genome Project architects, the National Human Genome Research Institute (NHGRI) has a rich archive of hundreds of thousands of scanned physical documents from ...
The U.S. Nuclear Regulatory Commission (NRC) is requesting comments on the NRC's Fiscal Years (FY) 2023-2027 Artificial Intelligence (AI) Strategic Plan. Specifically, the NRC would like input on the overall ...
We are pleased to announce the 6th annual Sandia Machine Learning and Deep Learning (MLDL) Workshop, to take place virtually July 25th – 28th, 2022. The workshop is an opportunity ...
Materials Genome Initiative (MGI) promises to expedite materials discovery through high-through computation and high-throughput experiments. Application of Artificial-intelligence (AI) tools such as machine-learning, deep-learning and various optimization techniques are critical ...
Materials Genome Initiative (MGI) promises to expedite materials discovery through high-through computation and high-throughput experiments. Application of Artificial-intelligence (AI) tools such as machine-learning, deep-learning and various optimization techniques are critical ...
The inaugural Artificial Intelligence (AI) and Emerging Technologies (ET) Partnership meeting is tomorrow! Join us, June 29, 2022 from 1-5 p.m. ET, to discuss the intersection of patent policy and ...
The inaugural meeting of the Artificial Intelligence (AI) and Emerging Technologies (ET) Partnership Series will be held virtually on June 29, 2022. The meeting will explore various patent policy issues ...
The Office of Science and Technology Policy and the National Science Foundation are organizing a virtual listening session to seek public input on the implementation of the initial findings and ...
The 2022 DoD Digital and AI Symposium will bring together thought leaders from across the national security enterprise to discuss themes critical to accelerating DoD’s adoption of data, analytics, and ...
During this seminar, Dr. Svitlana Volkova of Pacific Northwest National Laboratory will discuss a suite of augmented intelligence solutions powered by Artificial Intelligence (AI) models. She’ll show how these models ...
The U.S. Department of Commerce, NIST, FinRegLab, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) hosted a symposium on "Artificial Intelligence and the Economy: Charting a Path for Responsible ...
On May 25th, 2022, the NITRD Subcommittee will hold a symposium to mark the 30th anniversary of the signing of the High-Performance Computing (HPC) Act of 1991 and the launching ...
DISA’s Emerging Technology Directorate held an Artificial Intelligence Summit at DISAWERX in Columbia, Maryland, May 18. Various artificial intelligence initiatives within DISA and around the Department of Defense were discussed, ...
In this installment of the NCI Imaging and Informatics Community Webinar, learn about the impending challenges and different approaches for detecting and mitigating bias when implementing artificial intelligence (AI) and ...
Consumer Product Safety Commission (CPSC) staff is hosting a test and evaluation (TE) forum on consumer products employing artificial intelligence-related (AI) technologies, such as Machine Learning (ML). This forum will ...
Roll up your sleeves and help NIST to develop the Artificial Intelligence (AI) Risk Management Framework (RMF) by taking part in a workshop March 29-31, 2022. The second in a ...
The third installment of FDA’s new podcast series on technology and food safety focuses on artificial intelligence (AI) and its potential to advance food safety. This quarterly podcast explores the ...
Secretary’s Advisory Committee on Human Research Protections, SACHRP will discuss issues pertaining to HHS conducted or supported human subjects research. Read more...
On-road autonomous vehicles are projected to influence key aspects of everyday life including transportation, goods delivery, manufacturing, public safety, and security. However, on-road autonomous vehicles can pose a risk in ...
Lawrence Livermore National Laboratory (LLNL) scientists Gemma Anderson, Mark Zelinka and Aaron Donahue, along with Stan Hitomi, retired teacher from the San Ramon Valley Unified School District, will present “The ...
The NITRD program, in collaboration with the Office of Science and Technology Policy (OSTP) and the National Artificial Intelligence Initiative Office (NAIIO), is updating the National AI R&D Strategic Plan: 2019 ...
U.S. EEOC Chair Charlotte A. Burrows and Commissioner Keith Sonderling hear from experts about how artificial intelligence (AI) and other technologies that employers use in employment processes may discriminate against ...
The NITRD program, in collaboration with the Office of Science and Technology Policy (OSTP) and the National Artificial Intelligence Initiative Office (NAIIO), is updating the National AI R&D Strategic Plan: 2019 ...
This event will discuss the ways VA is using artificial intelligence (AI), algorithms, and other innovative technology to improve patient outcomes and the Veteran experience. Subject matter experts will discuss ...
Dr. Jeremy Goecks will share how cancer researchers are using the machine learning capabilities of the Galaxy project, one of the largest and most widely used open-source platforms for biomedical ...
Join us on January 14, 2022 from 12:00 pm to 4:30 pm ET, as we spotlight how federal agencies and industry partners are championing the design, development, and deployment of ...
The Department of Energy Artificial Intelligence and Technology Office is conducting a focus session on January 10, 2022 from 2:00PM EST to 3:15PM EST on “Managing the Convergence of AI ...
In this meeting, the Task Force will receive readouts from working group discussions held on the topics of priority capabilities for inclusion in a National AI Research Resource, including data ...
On November 18 and November 29, there will be two public listening sessions, both virtual, on Public and Private Sector Uses of AI-Enabled Biometric Technologies. The purpose of these listening ...
On November 18 and November 29, there will be two public listening sessions, both virtual, on Public and Private Sector Uses of AI-Enabled Biometric Technologies. The purpose of these listening ...
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 ...
Join the November NCI Imaging and Informatics Community Webinar to discover how NCI’s Center for Cancer Research (CCR) is leveraging its Artificial Intelligence Resource (AIR) to better analyze medical images ...
The U.S. Copyright Office and the U.S. Patent and Trademark Office are hosting an October 26, 2021, conference entitled Copyright Law and Machine Learning for AI: Where Are We and ...
In this meeting, the Task Force will receive readouts from working group discussions held on the topics of governance models and compute capabilities for a National AI Research Resource, and ...
This virtual Artificial Intelligence (AI) Risk Management Framework (RMF) workshop will support NIST’s goal of fostering an open, transparent, and collaborative process as NIST develops a Framework to manage risks ...
The use of machine learning techniques to enable modeling of complex problems is of significant interest to the Department of Defense (DoD). One goal that could benefit from machine learning ...
The Food and Drug Administration (FDA) is announcing a virtual public workshop on transparency of Artificial Intelligence/Machine Learning (AI/ML)-enabled medical devices to patients, caregivers, and providers. The role of transparency ...
Day 2─Tuesday, October 5: Artificial Intelligence and Machine Learning The program starts with a keynote presentation by Stephen Quest (General Director at Joint Research Center, EU), followed by six international ...
This workshop is the third in a series of forums that provide the U.S. Nuclear Regulatory Commission, nuclear industry, and stakeholders to discuss the state of knowledge and research activities ...
The National Institutes of Health (NIH) and the U.S. Food and Drug Administration (FDA) Joint Leadership Council Next-Generation Sequencing and Radiomics Working Group is hosting a virtual workshop on resource ...
This hybrid workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation ...
In this meeting, the Task Force will discuss (i) the goals, anticipated outcomes, and evaluation metrics of the National Artificial Intelligence Research Resource; (ii) ownership, administration, and governance models; and ...
The Consumer Product Safety Commission's Chief Technologist will discuss AI and ML voluntary standards via teleconference with representatives from the American National Standards Institute (ANSI), the American Society for Testing ...
The second workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to provide an overview of current NRC and industry initiatives to expand and apply ...
The National AI Research Resource Task Force will have its inaugural meeting to discuss its charter and goals; key characteristics for the National AI Research Resource; the results of pilot ...
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 ...
The first workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to cover state-of-practice tools, methods and procedures in artificial intelligence (AI), machine learning (ML), ...
This virtual forum aims to bring together stakeholders across academia, federal agencies, the data science/technology industry, and health care systems and centers who are interested in leveraging artificial intelligence and ...
Join us for a panel discussion with Patrice Ficklin, Aaron Roth, and Nancy Wallace, moderated by Santa Clara University Director of Internet Ethics Irina Raicu. During this session, we will ...
This three-day NIST workshop aims to bring together stakeholders and experts to identify the most pressing needs for AI measurement and evaluation and to advance the state of the art and practice.
The NHGRI Genomic Data Science Working Group of the National Advisory Council for Human Genome Research hosted the Machine Learning in Genomics virtual workshop on April 13 - April 14, ...
This forum collected information on the voluntary consensus standards, certification, and product specification efforts associated with products using AI, machine learning, and related technologies. The information collected from the forum is assisting CPSC staff in making recommendations for improving the safety of consumer products that include this technology.
This workshop explored an understanding of explainable AI, based on a draft NIST whitepaper describing four principles of explainable AI. Discussions addressed the roles of explanations in the AI life cycle, how explainable AI fits into the trustworthy AI ecosystem, and what a risk management strategy looks like for explainable AI.
This workshop aimed to develop a shared understanding of bias in AI that can guide and speed the innovation and adoption of trustworthy AI systems, including measurements, standards, and related tools. This workshop aimed to build a community of interest for NIST’s multi-faceted work in this area, which includes foundational and use-inspired research, evaluation, standards, and policy engagement.
This workshop was held to kick off a NIST initiative involving private and public sector organizations and individuals in discussions about building blocks for trustworthy AI systems and the associated measurements, methods, standards, and tools to implement those building blocks when developing, using, and testing AI systems. NIST’s effort will be informed by a series of workshops that will follow this initial session.
This workshop built on the success of the 1st Workshop on Leveraging AI, gathering scientists, program managers, and leaders from public, academic and private sectors. The workshop enabled experts involved ...
This workshop focused on the application of existing and new AI techniques in the wireless spectrum context. Topics explored include AI for future communications networks, for dynamic spectrum allocation and policy management, and for spectrum sharing. Experts from government, private industry, and academia discussed current use cases, effective technology, tools, and practices, while identifying gaps and issues that will require additional research to resolve.
This workshop explored the use of AI to efficiently evaluate materials performance during materials discovery. Topics addressed included application of classification and regression techniques, selection of features and descriptors for materials, comparison of AI techniques for materials, and related topics.
This workshop assessed key research challenges and opportunities at the intersection of cybersecurity and AI. The workshop discussed capability gaps and prospective research directions, focused both on the challenges of using AI/ML to improve security, and on improving the security of AI/ML itself.
This workshop engaged private and public sector organizations and individuals in discussions to advance the development of a plan for Federal engagement in AI standards. Discussions at the workshop explored the current status and plans regarding AI technical standards, related needs and challenges, and the current and potential future role of Federal agencies in this domain.
The workshop gathered scientists, program managers, and leaders from public, academic and private sectors. It enabled experts involved in the development and adaptation of AI tools and applications in a ...
This colloquium highlighted recent research results across the full breadth of DARPA’s investment in advancing the state of the art in AI. The colloquium sought to strengthen and expand DARPA’s innovation ecosystem, inform stakeholders of DARPA’s vision and priorities for AI, and inspire the technical research community to seek research and development partnerships with the Agency.
This workshop explored a wide range of topics related to the intellectual property policy considerations of AI. Topics covered include economic frameworks and impacts, patents and trade secrets, trademarks, copyright, IP enforcement, and international perspectives.
In this workshop, NIH brought together leaders in innovation and science to explore the opportunities for AI and machine learning to accelerate advances in biomedical research. The workshop highlighted a number of speakers from industry and science who discussed the promises of integrating AI technology into healthcare, and how it is being used in biomedical research.
