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From top left to right, NASA astronauts Victor Glover, Artemis II pilot; Reid Wiseman, Artemis II commander; CSA (Canadian Space Agency) astronaut Jeremy Hansen, Artemis II mission specialist, and NASA astronaut Christina Koch, Artemis II mission specialist, suit up and walk out of the Neil A. Armstrong Operations and Checkout Building at NASA’s Kennedy Space Center in Florida on Aug. 11.Credit: NASA/Kim Shiflett Lee esta nota de prensa en español aquí.
NASA is opening media accreditation for multi-day events to introduce America’s newest astronaut class and provide briefings for the Artemis II crewed test flight around the Moon. The activities will take place in September at the agency’s Johnson Space Center in Houston.
After evaluating more than 8,000 applications, NASA will debut its 2025 class of astronaut candidates during a ceremony at 12:30 p.m. EDT on Monday, Sept. 22. Following the ceremony, the candidates will be available for media interviews.
The astronaut selection event will stream live on NASA+, Netflix, Amazon Prime, NASA’s YouTube channel, and the agency’s X account.
The selected candidates will undergo nearly two years of training before they graduate as flight-eligible astronauts for agency missions to low Earth orbit, the Moon, and ultimately, Mars.
Next, NASA will host a series of media briefings on Tuesday, Sept. 23, and Wednesday, Sept. 24, to preview the upcoming Artemis II mission, slated for no later than April 2026. The test flight, a launch of the SLS (Space Launch System) rocket and Orion spacecraft, will send NASA astronauts Reid Wiseman, Victor Glover, and Christina Koch, along with CSA (Canadian Space Agency) astronaut Jeremy Hansen, on an approximately 10-day mission around the Moon.
Artemis II will help confirm the systems and hardware needed for human deep space exploration. This mission is the first crewed flight under NASA’s Artemis campaign and is another step toward new U.S.-crewed missions on the Moon’s surface that will help the agency prepare to send American astronauts to Mars.
The Artemis II events briefings will stream live on the agency’s YouTube channel and X account. Learn how to watch NASA content through a variety of platforms.
Following the briefings, NASA will host an Artemis II media day at NASA Johnson on Sept. 24, to showcase mission support facilities, trainers, and hardware for Artemis missions, as well as offer interview opportunities with leaders, flight directors, astronauts, scientists, and engineers.
Media who wish to participate in person must contact the NASA Johnson newsroom at 281-483-5111 or jsccommu@mail.nasa.gov and indicate which events they plan to attend. Confirmed media will receive additional details about participating in these events. A copy of NASA’s media accreditation policy is available on the agency’s website. Media accreditation deadlines for the astronaut candidate selection and Artemis II events are as follows:
U.S. media interested in attending in person must RSVP no later than 5 p.m., Wednesday, Sept. 17. International media without U.S. citizenship must RSVP no later than 5 p.m., Wednesday, Sept. 10. Media requesting in-person or virtual interviews with the astronaut candidates, Artemis experts, or the Artemis II crew must submit requests to the NASA Johnson newsroom by Wednesday, Sept. 17. In-person interview requests are subject to the credentialing deadlines noted above.
Information for the astronaut candidate selection and Artemis II events, including briefing participants, is as follows (all times Eastern):
Monday, Sept. 22
12:30 p.m.: 2025 Astronaut Candidate Selection Ceremony
Tuesday, Sept. 23
11 a.m.: Artemis II Mission Overview Briefing
Lakiesha Hawkins, acting deputy associate administrator, Exploration Systems Development Mission Directorate, NASA Headquarters Charlie Blackwell-Thompson, Artemis launch director, NASA’s Kennedy Space Center in Florida Judd Frieling, lead Artemis II ascent flight director, NASA Johnson Jeff Radigan, lead Artemis II flight director, NASA Johnson Rick Henfling, lead Artemis II entry flight director, NASA Johnson Daniel Florez, test director, Exploration Ground Systems, NASA Kennedy 1 p.m.: Artemis II Science and Technology Briefing
Matt Ramsey, Artemis II mission manager, NASA Headquarters Howard Hu, Orion Program manager, NASA Johnson Jacob Bleacher, manager, Science, Technology Utilization, and Integration, Exploration Systems Development Mission Directorate, NASA Headquarters Mark Clampin, acting deputy associate administrator, Science Mission Directorate, NASA Headquarters Media who wish to participate by phone must request dial-in information by 5 p.m., Sept. 22, by emailing NASA Johnson’s newsroom.
Wednesday, Sept. 24
10 a.m.: Artemis II Crew News Conference
Reid Wiseman, commander Victor Glover, pilot Christina Koch, mission specialist Jeremy Hansen, mission specialist Media who wish to participate by phone must request dial-in information by 5 p.m., Sept. 23, by emailing NASA Johnson’s newsroom.
Learn more about how NASA leads human spaceflight efforts at:
https://www.nasa.gov/humans-in-space
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Jimi Russell / Rachel Kraft
Headquarters, Washington
202-358-1100
james.j.russell@nasa.gov / rachel.h.kraft@nasa.gov
Courtney Beasley / Chelsey Ballarte
Johnson Space Center, Houston
281-910-4989
courtney.m.beasley@nasa.gov / chelsey.n.ballarte@nasa.gov
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Last Updated Aug 20, 2025 LocationNASA Headquarters Related Terms
Artemis Artemis 2 Candidate Astronauts Humans in Space Mars View the full article
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By NASA
6 min read
NASA, IBM’s ‘Hot’ New AI Model Unlocks Secrets of Sun
This image from June 20, 2013 shows the bright light of a solar flare and an eruption of solar material shooting through the sun’s atmosphere, called a prominence eruption. Shortly thereafter, this same region of the sun sent a coronal mass ejection out into space — a phenomenon which can cause magnetic storms that degrade communication signals and cause unexpected electrical surges in power grids on Earth. NASA’s new heliophysics AI foundation model, Surya, can help predict these storms. NASA/Goddard/SDO NASA is turning up the heat in solar science with the launch of the Surya Heliophysics Foundational Model, an artificial intelligence (AI) model trained on 14 years of observations from NASA’s Solar Dynamics Observatory.
Developed by NASA in partnership with IBM and others, Surya uses advances in AI to analyze vast amounts of solar data, helping scientists better understand solar eruptions and predict space weather that threatens satellites, power grids, and communication systems. The model can be used to provide early warnings to satellite operators and helps scientists predict how the Sun’s ultraviolet output affects Earth’s upper atmosphere.
Preliminary results show Surya is making strides in solar flare forecasting, a long-standing challenge in heliophysics. Surya, with its ability to generate visual predictions of solar flares two hours into the future, marks a major step towards the use of AI for operational space weather prediction. These initial results surpass existing benchmarks by 15%. By providing open access to the model on HuggingFace and the code on GitHub, NASA encourages the science and applications community to test and explore this AI model for innovative solutions that leverage the unique value of continuous, stable, long-duration datasets from the Solar Dynamics Observatory.
Illustrations of Solar Dynamics Observatory solar imagery used for training Surya: Solar coronal ultraviolet and extreme ultraviolet images from the Atmospheric Imaging Assembly (AIA) and solar surface velocity and magnetic field maps from the Helioseismic and Magnetic Imager (HMI). NASA/SDO The model’s success builds directly on the Solar Dynamics Observatory’s long-term database. Launched in 2010, NASA’s Solar Dynamics Observatory has provided an unbroken, high-resolution record of the Sun for nearly 15 years through capturing images every 12 seconds in multiple wavelengths, plus precise magnetic field measurements. This stable, well-calibrated dataset, spanning an entire solar cycle, is uniquely suited for training AI models like Surya, enabling them to detect subtle patterns in solar behavior that shorter datasets would miss.
Surya’s strength lies in its foundation model architecture, which learns directly from raw solar data. Unlike traditional AI systems that require extensive labeling, Surya can adapt quickly to new tasks and applications. Applications include tracking active regions, forecasting flare activity, predicting solar wind speed, and integrating data from other observatories including the joint NASA-ESA Solar and Heliospheric Observatory mission and NASA’s Parker Solar Probe.
“We are advancing data-driven science by embedding NASA’s deep scientific expertise into cutting-edge AI models,” said Kevin Murphy, chief science data officer at NASA Headquarters in Washington. “By developing a foundation model trained on NASA’s heliophysics data, we’re making it easier to analyze the complexities of the Sun’s behavior with unprecedented speed and precision. This model empowers broader understanding of how solar activity impacts critical systems and technologies that we all rely on here on Earth.”
These images compare the ground-truth data (right) with model output (center) for solar flares, which are the events behind most space weather. Surya’s prediction is very close to what happened in reality (right). These preliminary results suggest that Surya has learned enough solar physics to predict the structure and evolution of a solar flare by looking at its beginning phase. NASA/SDO/ODSI IMPACT AI Team Solar storms pose significant risks to our technology-dependent society. Powerful solar events energize Earth’s ionosphere, resulting in substantial GPS errors or complete signal loss to satellite communications. They also pose risks to power grids, as geomagnetically induced currents from coronal mass ejections can overload transformers and trigger widespread outages.
In commercial aviation, solar flares can disrupt radio communications and navigation systems while exposing high-altitude flights to increased radiation. The stakes are even higher for human spaceflight. Astronauts bound for the Moon or Mars may need to depend on precise predictions to shelter from intense radiation during solar particle events.
The Sun’s influence extends to the growing number of low Earth orbit satellites, including those that deliver global high-speed internet. As solar activity intensifies, it heats Earth’s upper atmosphere, increasing drag that slows satellites, pulls them from orbit, and causes premature reentry. Satellite operators often struggle to forecast where and when solar flares might affect these satellites.
The “ground truth” solar activity is shown on the top row. The bottom row shows solar activity predicted by Surya. NASA/SDO/ODSI IMPACT AI Team “Our society is built on technologies that are highly susceptible to space weather,” said Joseph Westlake, Heliophysics Division director at NASA Headquarters. “Just as we use meteorology to forecast Earth’s weather, space weather forecasts predict the conditions and events in the space environment that can affect Earth and our technologies. Applying AI to data from our heliophysics missions is a vital step in increasing our space weather defense to protect astronauts and spacecraft, power grids and GPS, and many other systems that power our modern world.”
While Surya is designed to study the Sun, its architecture and methodology are adaptable across scientific domains. From planetary science to Earth observation, the project lays the foundational infrastructure for similar AI efforts in diverse domains.
Surya is part of a broader NASA push to develop open-access, AI-powered science tools. Both the model and training datasets are freely available online to researchers, educators, and students worldwide, lowering barriers to participation and sparking new discoveries.
The process for creating Surya. Foundation models enhance the utility of NASA’s Solar Dynamics Observatory datasets and create a base for building new applications. NASA/ODSI IMPACT AI Team Surya’s training was supported in part by the National Artificial Intelligence Research Resource (NAIRR) Pilot, a National Science Foundation (NSF)-led initiative that provides researchers with access to advanced computing, datasets, and AI tools. The NAIRR Pilot brings together federal and industry resources, such as computing power from NVIDIA, to expand access to the infrastructure needed for cutting-edge AI research.
“This project shows how the NAIRR Pilot is uniting federal and industry AI resources to accelerate scientific breakthroughs,” said Katie Antypas, director of NSF’s Office of Advanced Cyberinfrastructure. “With support from NVIDIA and NSF, we’re not only enabling today’s research, we’re laying the groundwork for a national AI network to drive tomorrow’s discoveries.”
Surya is part of a larger effort championed and supported by NASA’s Office of the Chief Science Data Officer and Heliophysics Division, the NSF , and partnering universities to advance NASA’s scientific missions through innovative data science and AI models. Surya’s AI architecture was jointly developed by the Interagency Implementation and Advanced Concepts Team (IMPACT) under the Office of Data Science and Informatics at NASA’s Marshall Space Flight Center in Huntsville, Alabama; IBM; and a collaborative science team.
The science team, assembled by NASA Headquarters, consisted of experts from the Southwest Research Institute in San Antonio, Texas; the University of Alabama in Huntsville in Huntsville, Alabama; the University of Colorado Boulder in Boulder, Colorado; Georgia State University in Atlanta, Georgia; Princeton University in Princeton, New Jersey; NASA’s SMD’s Heliophysics Division; NASA’s Goddard Space Flight Center in Greenbelt, Maryland; NASA’s Jet Propulsion Laboratory in Pasadena, California; and the SETI Institute in Mountain View, California.
For a behind-the-scenes dive into Surya’s architecture, industry and academic collaborations, challenges behind developing the model, read the blog post on NASA’s Science Data Portal:
https://science.data.nasa.gov/features-events/inside-surya-solar-ai-model
For more information about NASA’s strategy of developing foundation models for science, visit:
https://science.nasa.gov/artificial-intelligence-science
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Last Updated Aug 20, 2025 Related Terms
Science & Research Artificial Intelligence (AI) Heliophysics Solar Dynamics Observatory (SDO) The Sun The Sun & Solar Physics Explore More
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NuCLEUS, developed by Interstellar Lab, is an autonomous system that grows microgreens, vegetables, and more for astronauts to eat in space.Interstellar Lab NASA invests in technologies that have the potential to revolutionize space exploration, including the way astronauts live in space. Through the Deep Space Food Challenge, NASA, in partnership with CSA (Canadian Space Agency), sought novel food production systems that could provide long-duration human space exploration missions with safe, nutritious, and tasty food. Three winners selected last summer are now taking their technology to new heights – figuratively and literally – through commercial partnerships.
Interstellar Lab of Merritt Island, Florida, won the challenge’s $750,000 grand prize for its food production system NuCLEUS (Nutritional Closed-Loop Eco-Unit System), by demonstrating an autonomous operation growing microgreens, vegetables, and mushrooms, as well as sustaining insects for use in an astronaut’s diet. To address the requirements of the NASA challenge, NuCLEUS includes an irrigation system that sustains crop growth with minimal human intervention. This end-to-end system supplies fresh ingredients to support astronauts’ health and happiness, with an eye toward what the future of dining on deep space missions to Mars and the Moon may look like.
Since the close of the challenge, Interstellar Lab has partnered with aerospace company Vast to integrate a spinoff of NuCLEUS, called Eden 1.0, on Haven-1, a planned commercial space station. Eden 1.0 is a plant growth unit designed to conduct research on plants in a microgravity environment using functions directly stemming from NuCLEUS.
“The NASA Deep Space Food Challenge was a pivotal catalyst for Interstellar Lab, driving us to refine our NuCLEUS system and directly shaping the development of Eden 1.0, setting the stage for breakthroughs in plant growth research to sustain life both in space and on Earth,” said Barbara Belvisi, founder and CEO of Interstellar Lab.
Fuanyi Fobellah, one of the “Simunauts” from The Ohio State University who tested food production technologies as part of the Deep Space Food Challenge, removes a cooked omelet from the SATED appliance.NASA/Savannah Bullard Team SATED (Safe Appliance, Tidy, Efficient & Delicious) of Boulder, Colorado, earned a $250,000 second prize for its namesake appliance, which creates an artificial gravitational force that presses food ingredients against its heated inner surface for cooking. The technology was developed by Jim Sears, who entered the contest as a one-person team and has since founded the small business SATED Space LLC.
At the challenge finale event, the technology was introduced to the team of world-renowned chef and restaurant owner, José Andrés. The SATED technology is undergoing testing with the José Andrés Group, which could add to existing space food recipes that include lemon cake, pizza, and quiche. The SATED team also is exploring partnerships to expand the list of ingredients compatible with the appliance, such as synthetic cooking oils safe for space.
Delicious food was a top priority in the Deep Space Food Challenge. Sears noted the importance of food that is more than mere sustenance. “When extremely high performance is required, and the situations are demanding, tough, and lonely, the thing that pulls it all together and makes people operate at their best is eating fresh cooked food in community.”
Team Nolux won a $250,000 second-place prize for its Nolux food system that uses artificial photosynthesis to grow ingredients that could be used by astronauts in space.OSU/CFAES/Kenneth Chamberlain Team Nolux, formed from faculty members, graduate, and undergraduate students from the University of California, Riverside, also won a $250,000 second prize for its artificial photosynthesis system. The Nolux system – whose name means “no light” – grows plant and fungal-based foods in a dark chamber using acetate to chemically stimulate photosynthesis without light, a capability that could prove valuable in space with limited access to sunlight.
Some members of the Nolux team are now commercializing select aspects of the technology developed during the challenge. These efforts are being pursued through a newly incorporated company focused on refining the technology and exploring market applications.
A competition inspired by NASA’s Deep Space Food Challenge will open this fall.
Stay tuned for more information: https://www.nasa.gov/prizes-challenges-and-crowdsourcing/centennial-challenges/
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