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The event, Additive Construction – The Path to Standardization Continues, will bring together industry and academic stakeholders to discuss gaps in the current standard documents and how the gaps can be filled. Building on previous engagements, this

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RSS feed source: NIST Buildings & Construction

NSF Upcoming Due Dates https://www.nsf.gov/funding/opportunities Due dates within the next 30 days for funding opportunities posted on the NSF website, https://www.nsf.gov. en Sat, 16 Aug 2025 00:03:17 EDT Decision, Risk and Management Sciences (DRMS) https://www.nsf.gov/funding/opportunities/drms-decision-risk-management-sciences/pd23-1321 <![CDATA[ Full Proposal Target Date: August 18, 2025

Program Guidelines: PD 23-1321

The Decision, Risk and Management Sciences Program (DRMS) supports scientific research directed at increasing understanding and effectiveness of decision making by individuals, groups, organizations and society. DRMS supports research with solid foundations in theories and methods of the social…
More at https://www.nsf.gov/funding/opportunities

This is an NSF Upcoming Due Dates item.

]]> https://www.nsf.gov/funding/opportunities/drms-decision-risk-management-sciences/pd23-1321 Decision, Risk and Management Sciences – Doctoral Dissertation Research Improvement Grants (DRMS-DDRIG) https://www.nsf.gov/funding/opportunities/drms-ddrig-decision-risk-management-sciences-doctoral-dissertation/nsf23-618 <![CDATA[ Full Proposal Target Date: August 18, 2025

Program Guidelines: NSF 23-618

The Decision, Risk and Management Sciences Program (DRMS) supports scientific research directed at increasing understanding and effectiveness of decision making by individuals, groups, organizations and society. DRMS supports

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The U.S. National Science Foundation announced a partnership with NVIDIA to develop a set of artificial intelligence models that will transform the ability of America’s scientists to leverage AI, advancing scientific discovery and ensuring U.S. leadership in AI-powered research and innovation. NSF will contribute $75 million, with NVIDIA providing an additional $77 million, to support the Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project, led by the Allen Institute for AI (Ai2). The collaboration will create a fully open suite of advanced AI models specifically designed to support the U.S. scientific community.

This public-private investment advances priorities set forth in the White House AI Action Plan to accelerate AI-enabled science and ensure the United States is producing the leading open models that enhance America’s global AI dominance.

“Bringing AI into scientific research has been a game changer,” said Brian Stone, performing the duties of the NSF director. “NSF is proud to partner with NVIDIA to equip America’s scientists with the tools to accelerate breakthroughs. These investments are not just about enabling innovation; they are about securing U.S. global leadership in science and technology and tackling challenges once thought impossible.”

The development of AI technologies is advancing rapidly, but the cost of creating and researching powerful AI models has grown beyond the budgets of university labs and federally funded researchers. This growing divide limits the

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