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The U.S. National Science Foundation announced a new funding opportunity that would invest up to $100 million to support a network of “programmable cloud laboratories,” aimed at expanding access to cutting-edge technology to accelerate the automation of scientific discovery and innovation.

The NSF Test Bed: Toward a Network of Programmable Cloud Laboratories (NSF PCL Test Bed) would establish artificial intelligence-enabled laboratories nationwide to integrate, test, evaluate and validate the capabilities of new cutting-edge AI-based technologies.

This new program directly implements a priority of the White House AI Action Plan to accelerate AI-enabled science through automated laboratory infrastructure. It will be led by the NSF Directorate for Technology, Innovation and Partnerships (NSF TIP) and subject to future appropriations.

“The idea of a national network of programmable cloud laboratories builds on NSF’s longstanding legacy of transformative investments — such as NSFNET decades ago — that paved the way for the modern internet,” said Erwin Gianchandani, NSF assistant director for TIP.

The NSF PCL initiative will invest in a network of laboratories that can be remotely accessed to run custom, user-programmed AI-enabled workflows. These hubs will help bring innovative technologies into practical use during scientific and engineering experiments. The initial focus will be on biotechnology and materials science — fields that are well-positioned to benefit from the programmable cloud laboratory model.

“The PCL initiative will transform how U.S. researchers conduct scientific

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Advances in fundamental technologies enable robots to collaborate with humans, as well as with other robots. David Saldaña, assistant professor in the department of computer science and engineering at Lehigh University, discusses his work developing resilient and adaptive collaborative aerial robots.

https://youtube.com/watch?v=videoseries&list=PL0ujJTaPsv3cFZCgjHk-XdsD7JjY6wM0t

Listen to NSF Discovery Files wherever you get your podcasts.

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The U.S. National Science Foundation announced $45 million to fund 15 new awards through the NSF Research Traineeship (NRT) program, with projects focusing on artificial intelligence, quantum, biotechnology and translational science.

These represent NRT’s most significant annual investment in institutions located in NSF Established Program to Stimulate Competitive Research (EPSCoR) jurisdictions and extend the program’s reach to science, technology, engineering and math graduate students in 47 states, D.C. and the U.S. Virgin Islands, including two new states, Idaho and North Dakota.

“Students are the foundation for a strong STEM enterprise,” said NSF Assistant Director for STEM Education James L. Moore III. “Through effective, evidence-based graduate education closely aligned with the nation’s workforce priorities and research needs, NRT ensures that today’s STEM graduate students are prepared and equipped to become tomorrow’s STEM leaders and innovators.”

The NSF-sponsored projects will use critical and emerging technologies to develop the AI and quantum workforce to meet regional economic needs, strengthen health care systems, support rural agricultural and economic development, improve infrastructure, prepare bioengineers and much more.

This investment also marks the first time NSF has made awards through the NRT Institutional Partnership Pilot (NRT-IPP) program. NRT-IPP supports graduate student projects with high industry relevance through partnerships between non-R1 institutions, institutions with existing or completed NRT projects, and industry partners, including Apple, Clark Construction and Draper.

Below is the list of the 2025

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The U.S. National Science Foundation is investing over $74 million in six research institutes focused on the mathematical sciences and their broad applications in all fields of science, technology and many industries.

For over 40 years, NSF has funded Mathematical Sciences Research Institutes to serve as catalysts for U.S. research in mathematics and statistics and to produce mathematical innovations to rapidly address new and emerging challenges and opportunities. The institutes collectively investigate a wide range of mathematical research areas with potential impacts, including better patient outcomes in hospital emergency rooms, enhanced safety of semiautonomous vehicles, and detection of exoplanets using quantum physics. Previous research conducted at the institutes has had broad impacts, such as improved speed and accuracy of MRI imaging and the development of mathematical foundations of artificial intelligence-based technologies.

“From underpinning new encryption standards that will protect our information from quantum computers to navigating the intricate global supply chains that enable manufacturing and trade, the mathematical sciences are a driving force behind countless aspects of our national security, economy and quality of life,” says NSF Assistant Director for Mathematical and Physical Sciences David Berkowitz. “The NSF Mathematical Sciences Research Institutes will continue to empower U.S. mathematical scientists to punch into promising new areas of exploration.”

Reflecting the universal usefulness of the mathematical sciences, the institutes have partnered with and received support from a

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