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U.S. National Science Foundation-supported researchers published new findings suggesting a location where the Yellowstone Caldera could erupt, hundreds of thousands of years from now.

The Yellowstone Caldera is one of the largest volcanic systems on Earth. It lurks beneath Yellowstone National Park and touches three states: Idaho, Wyoming and Montana. Over the past two million years, the volcano significantly erupted three times, leaving behind calderas, or massive craters.

To better understand future eruptions, Ninfa Bennington, a volcanic seismologist with the U.S. Geological Survey, used magnetotelluric methods to identify four pots of magma stored underneath the Yellowstone Caldera.

Magnetotelluric instruments help scientists identify materials that can conduct electricity beneath Earth’s crust. The team used those instruments at over 100 measuring stations across the caldera to identify magma, which has a much higher conductivity than solid rocks.

Of the four magma-rich regions the team discovered, only the northeastern one will remain hot enough to keep magma liquid on a long-term scale and eventually erupt. Previous major eruptions took place in different locations across the caldera.

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On January 8, Nvidia CEO Jensen Huang jolted the stock market by saying that practical quantum computing is still 15 to 30 years away, at the same time suggesting those computers will need Nvidia GPUs in order to implement the necessary error correction. 

However, history shows that brilliant people are not immune to making mistakes. Huang’s predictions miss the mark, both on the timeline for useful quantum computing and on the role his company’s technology will play in that future.

I’ve been closely following developments in quantum computing as an investor, and it’s clear to me that it is rapidly converging on utility. Last year, Google’s Willow device demonstrated that there is a promising pathway to scaling up to bigger and bigger computers. It showed that errors can be reduced exponentially as the number of quantum bits, or qubits, increases. It also ran a

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NSF–DOE Vera C. Rubin Observatory, jointly funded by the U.S. National Science Foundation and the U.S. Department of Energy’s Office of Science, will soon begin scanning the Southern Hemisphere sky every night for 10 years. Among the trillions of cosmic events and objects it will capture will be millions of exploding stars called Type Ia supernovas.

These supernovas are produced by exploding white dwarf stars and are some of the brightest cosmic spectacles. They are particularly useful to researchers because they provide a sort of reliable cosmic yardstick that can be used to accurately measure vast distances in the universe. With enough observations of Type Ia supernovas, scientists can measure the universe’s expansion rate and whether it changes over time.

Every time NSF-DOE Rubin Observatory detects a change in brightness or position of an object, it will send an alert to the science community. With such rapid detection, Rubin will be the most powerful tool yet for spotting Type Ia supernovas before they fade away.

Observations of Type Ia supernovas were used to discover the mysterious phenomenon known as dark energy, thought to be causing the universe to expand faster than expected. In just its first few months of operation, Rubin Observatory will discover many more Type Ia supernovas than were used in the initial discovery of dark energy in the 1990s. The observatory will

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NSF Director Sethuraman Panchanathan spent the week reinforcing the agency’s mission to inspire and harness talent everywhere to catalyze the progress of innovation.

On Monday, Jan. 13, Panchanathan welcomed the Government of Canada’s Chief Science Advisor Mona Nemer to agency headquarters, where they explored opportunities to sync global talent to advance cutting-edge research and underscored the importance of supporting societally relevant and use-inspired research to promote global prosperity. NSF has supported U.S. researchers working with Canadian counterparts in areas such as artificial intelligence, quantum information science, the bioeconomy and energy and resilience.

Credit: Charlotte Geary/NSF

On January 13, 2025, NSF Director Sethuraman Panchanathan met with Dr. Mona Nemer, Chief Science Advisor of Canada at NSF Headquarters.

On Tuesday, Jan. 14, the director met with Rep. Brian Babin (R-TX-36), Chairman of the House Committee on Science, Space, and Technology, where he expressed his excitement for future collaborative efforts between NSF, the committee and the 119th Congress to ensure the U.S. remains at the vanguard of discovery and innovation. Later that day, he met with Rep. Jay Obernolte (R-CA-23), who chaired the House Bipartisan Task Force on Artificial Intelligence and thanked Obernolte for his task force leadership and expressed his great appreciation for the task force’s recognition of NSF’s longstanding AI investments and the important

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