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During Black Friday in 2024, Stripe processed more than $31 billion in transactions, with processing rates peaking at 137,000 transactions per minute, the highest in the company’s history. The financial-services firm had to analyze every transaction in real time to prevent nearly 21 million fraud attempts that could have siphoned more than $910 million from its merchant customers. 

Yet, fraud protection is only one reason that Stripe embraced real-time data analytics. Evaluating trends in massive data flows is essential for the company’s services, such as allowing businesses to bill based on usage and monitor orders and inventory. In fact, many of Stripe’s services would not be possible without real-time analytics, says Avinash Bhat, head of data infrastructure at Stripe. “We have certain products that require real-time analytics, like usage-based billing and fraud detection,” he says. “Without our real-time analytics, we would not have a few

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Scientists at Delft University of Technology have managed to watch a single atomic nucleus flip its magnetic state in real time. Using a scanning tunneling microscope, they indirectly read the nucleus through its electrons, finding the nuclear spin surprisingly stable for several seconds. This “single-shot readout” breakthrough could pave the way for manipulating atomic-scale quantum states, with future applications in quantum sensing and simulation.

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U.S. National Science Foundation

Directorate for Computer and Information Science and Engineering
     Office of Advanced Cyberinfrastructure

Letter of Intent Due Date(s) (required) (due by 5 p.m submitting organization’s local time):

     December 15, 2025

Full Proposal Deadline(s) (due by 5 p.m. submitting organization’s local time):

     February 04, 2026

Important Information And Revision Notes

Any proposal submitted in response to this solicitation should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

Summary Of Program Requirements

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The U.S. National Science Foundation today announced a new solicitation to establish a National Artificial Intelligence Research Resource Operations Center (NAIRR-OC). This marks a critical, initial step in transitioning the National AI Research Resource (NAIRR) from a successful pilot to laying the foundations for a sustainable, coordinated national program that will advance U.S. research capabilities and global leadership in AI.

Many researchers and educators lack the critical AI tools and resources to investigate fundamental AI questions and train students.

Launched in 2024, through a novel public-private partnership construct, the NAIRR Pilot aims to build a national infrastructure that expands access to the computational, data, model, and training resources needed to drive AI innovation and train the next generation.

Backed by the support of 14 federal agencies and 28 private-sector and nonprofit partners, the NAIRR Pilot has already connected over 400 U.S. research teams with computing platforms, datasets, software, and models — accelerating breakthroughs in fields from agriculture and drug discovery to cybersecurity and education.

The establishment of NAIRR-OC is a strategic, forward-looking investment in the nation’s scientific enterprise. It directly supports the White House’s AI Action Plan, which emphasizes the need for sustained operational capabilities for the NAIRR and broader access to AI resources for the research community.

“The NAIRR Operating Center solicitation marks a key step in the transition from the NAIRR Pilot to building a

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