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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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The U.S. National Science Foundation, in partnership with Capital One and Intel, today announced a $100 million investment to support five National Artificial Intelligence Research Institutes and a central community hub. These institutes will drive breakthroughs in high-impact areas such as mental health, materials discovery, science, technology, engineering and mathematics education, human-AI collaboration and drug development.

This public-private investment aligns with the White House AI Action Plan, a national initiative to sustain and enhance America’s global AI dominance.

“Artificial intelligence is key to strengthening our workforce and boosting U.S. competitiveness,” said Brian Stone, performing the duties of the NSF director. “Through the National AI Research Institutes, we are turning cutting-edge ideas and research into real-world solutions and preparing Americans to lead in the technologies and jobs of the future.”

While headlines often focus on the newest chatbot, AI is quietly powering advances across nearly every sector, helping doctors detect diseases, enabling smarter manufacturing and supporting resilient agriculture and financial security. The AI Institutes are designed to translate cutting-edge research into scalable, practical solutions that improve lives.

The institutes will also help build a national infrastructure for AI education and workforce development, training the next generation of researchers and practitioners, empowering educators and reaching into communities.

This effort directly supports the goals outlined in Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth,” which calls for expanding

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The White House’s AI Action Plan sends a clear message: the United States is all-in on winning the future of artificial intelligence. This road map removes barriers to American innovation and reaffirms our commitment to seizing the opportunities of AI to advance economic competitiveness and national security. At the U.S. National Science Foundation, we’re proud to have a critical role in realizing this future.

Over the coming weeks, NSF will unveil a series of major initiatives that align with this momentum, including:

New NSF AI Research Institutes to accelerate breakthroughs in foundational AI and the application of AI to health, education, chemistry and materials science.A partnership to create a large language model infrastructure to develop cutting-edge capabilities to drive AI for science.AI Testbeds to evaluate real-world AI systems with transparency and rigor.The next phase of the National AI Research Resource to supercharge AI innovation through access to critical computational resources, data, software and training resources.

These investments will help secure U.S. leadership in AI while ensuring the benefits of this powerful technology reach across America and create more jobs. NSF stands ready to work alongside our partners in government, private industry and philanthropy to keep American innovation on the frontier where it belongs.

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“Forever chemicals” are everywhere — from Teflon pans and dental floss to raincoats and microwave popcorn bags. Known as PFAS, these chemicals (per- and polyfluoroalkyl substances) are noted for their resistance to heat, oil and water. That same staying power makes them a growing concern. PFAS have been linked to a range of serious health risks, including increased risk of certain cancers, fertility issues, immune system dysfunction and developmental problems. Because PFAS remain in water, soil and air for a long time (hence the name “forever chemicals”), removing them from the environment has become a public priority.  

Earlier this year, a team of scientists from Rice University (including U.S. National Science Foundation Graduate Research Fellowship Program alum Kevin Wyss) announced the development of a new method to break down PFAS that is not only extremely effective (removing 99.98% of the most common PFAS pollutant), but also creates the valuable manufacturing material graphene, one of the world’s strongest and lightest materials.  

This pioneering method involves combining PFAS with granular activated carbon and salts, then heating it to over 3,000 degrees Celsius in under a second. The intense heat breaks the chemical bonds in PFAS, turning them into harmless fluoride salts. At the same time, the activated carbon in the mixture is turned into graphene, which is used in industries such as manufacturing, electronics

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