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Jones explains how DAF is preparing for global competition
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By NASA
This map depicts global temperature anomalies for meteorological summer in 2024 (June, July, and August). It shows how much warmer or cooler different regions of Earth were compared to the baseline average from 1951 to 1980. (Credit: NASA/NOAA) Climate researchers from NASA and NOAA (National Oceanic and Atmospheric Administration) will release their annual assessments of global temperatures and discuss the major climate trends of 2024 during a media briefing at 12 p.m. EST Friday, Jan. 10.
NASA will share the briefing on the agency’s website at: https://www.nasa.gov/live.
Participants will include:
Gavin Schmidt, director, NASA’s Goddard Institute for Space Studies Russ Vose, chief, Monitoring and Assessment Branch, NOAA National Centers for Environmental Information Media interested in participating must RSVP to NOAA by the time of the event.
NASA and NOAA are stewards of global temperature data and independently produce a record of Earth’s surface temperatures and changes based on historical observations over land and ocean.
For more information about NASA’s Earth science programs, visit:
https://www.nasa.gov/earth
-end-
Liz Vlock
Headquarters, Washington
202-358-1600
elizabeth.a.vlock@nasa.gov
Peter Jacobs
Goddard Space Flight Center, Greenbelt, Maryland
301-286-0535
peter.jacobs@nasa.gov
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By NASA
Members belonging to one of three teams from Oakwood School aim their devices — armed with chocolate-coated-peanut candies — at a target during JPL’s annual Invention Challenge on Dec. 6.NASA/JPL-Caltech Teams competed with homemade devices to try to launch 50 peanut candies in 60 seconds into a target container.NASA/JPL-Caltech More points were awarded for successfully landing the candy into the highest, smallest level of the triangular Plexiglas target — not an easy task.NASA/JPL-Caltech Treats went flying through the air by the dozens at the annual Invention Challenge at NASA’s Jet Propulsion Laboratory.
The 25th Invention Challenge at NASA’s Jet Propulsion Laboratory in Southern California, which welcomed more than 200 students to compete using home-built devices, was pretty sweet this year. Literally.
That’s because the challenge at the Friday, Dec. 6, competition was to construct an automated machine that would launch, within 60 seconds, 50 chocolate-coated-peanut candies over a barrier and into a triangular Plexiglas container 16 feet (5 meters) away. The mood was tense as teachers, parents, and JPL employees watched the “Peanut Candy Toss Contest” from the sidelines, some of them eating the ammunition.
Students on 21 teams from Los Angeles and Orange county middle and high schools turned to catapults, slingshots, flywheels, springs, and massive rubber bands. There was lots of PVC piping. A giant device shaped like a blue bunny shot candy out of its nose with the help of an air compressor, while other entries relied on leaf blowers and vacuums.
A team from Santa Monica High School won the 2024 Invention Challenge at JPL on Dec. 6 with a device was based on a crossbow.NASA/JPL-Caltech Some were more successful than others. Ultimately, it was an old-school design that won first place for a team from Santa Monica High School: a modified crossbow.
“I tried to come up with something that was historically tried and true,” said Steele Winterer, a senior on the team who produced the initial design. Like his teammates, Steele is in the school’s engineering program and helped build the device during class. He described the process as “nerve-wracking,” “messy,” and “disorganized,” but everyone found their role as the design was refined.
Second and third place went to teams from Oakwood School in North Hollywood, which both took a firing-line approach, using four parallel wooden devices, with one student per device firing after each other in quick succession.
Two regional Invention Challenges held at Costa Mesa High School and Augustus Hawkins High School in South L.A. last month had winnowed the field to the 21 teams invited to the final event at JPL. At the finals, three JPL-sponsored teams from out-of-state schools and two teams that included adult engineers faced off in a parallel competition. In this second competition group, retired JPL engineer Alan DeVault took first place, followed by Boston Charter School of Science coming in second, and Centaurus High School from Colorado in third.
Competing with a wooden device at the 2024 Invention Challenge, retired JPL engineer and longtime participant Alan DeVault won first place among JPL-sponsored teams, which included professionals and out-of-state students. Challenge organizer Paul MacNeal kneels at right.NASA/JPL-Caltech Held since 1998 (with a two-year break during the COVID-19 pandemic), the contest was designed by JPL mechanical engineer Paul MacNeal to inspire students to discover a love for building things and solving problems. Student teams spend months designing, constructing, and testing their devices to try to win the new challenge that MacNeal comes up with each year.
“When student teams come to the finals, they are engaged just as engineers are engaged in the work we do here at JPL,” MacNeal said. “It’s engineering for the joy of it. It’s problem-solving but it’s also team building. And it’s unique because the rules change every year. The student teams get to see JPL engineering teams compete side by side. I started this contest to show students that engineering is fun!”
The event is supported by dozens of volunteers from JPL, which is managed by Caltech in Pasadena for NASA.
News Media Contact
Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2024-166
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Last Updated Dec 06, 2024 Related Terms
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By NASA
4 min read
Expanded AI Model with Global Data Enhances Earth Science Applications
On June 22, 2013, the Operational Land Imager (OLI) on Landsat 8 captured this false-color image of the East Peak fire burning in southern Colorado near Trinidad. Burned areas appear dark red, while actively burning areas look orange. Dark green areas are forests; light green areas are grasslands. Data from Landsat 8 were used to train the Prithvi artificial intelligence model, which can help detect burn scars. NASA Earth Observatory NASA, IBM, and Forschungszentrum Jülich have released an expanded version of the open-source Prithvi Geospatial artificial intelligence (AI) foundation model to support a broader range of geographical applications. Now, with the inclusion of global data, the foundation model can support tracking changes in land use, monitoring disasters, and predicting crop yields worldwide.
The Prithvi Geospatial foundation model, first released in August 2023 by NASA and IBM, is pre-trained on NASA’s Harmonized Landsat and Sentinel-2 (HLS) dataset and learns by filling in masked information. The model is available on Hugging Face, a data science platform where machine learning developers openly build, train, deploy, and share models. Because NASA releases data, products, and research in the open, businesses and commercial entities can take these models and transform them into marketable products and services that generate economic value.
“We’re excited about the downstream applications that are made possible with the addition of global HLS data to the Prithvi Geospatial foundation model. We’ve embedded NASA’s scientific expertise directly into these foundation models, enabling them to quickly translate petabytes of data into actionable insights,” said Kevin Murphy, NASA chief science data officer. “It’s like having a powerful assistant that leverages NASA’s knowledge to help make faster, more informed decisions, leading to economic and societal benefits.”
AI foundation models are pre-trained on large datasets with self-supervised learning techniques, providing flexible base models that can be fine-tuned for domain-specific downstream tasks.
Crop classification prediction generated by NASA and IBM’s open-source Prithvi Geospatial artificial intelligence model. Focusing on diverse land use and ecosystems, researchers selected HLS satellite images that represented various landscapes while avoiding lower-quality data caused by clouds or gaps. Urban areas were emphasized to ensure better coverage, and strict quality controls were applied to create a large, well-balanced dataset. The final dataset is significantly larger than previous versions, offering improved global representation and reliability for environmental analysis. These methods created a robust and representative dataset, ideal for reliable model training and analysis.
The Prithvi Geospatial foundation model has already proven valuable in several applications, including post-disaster flood mapping and detecting burn scars caused by fires.
One application, the Multi-Temporal Cloud Gap Imputation, leverages the foundation model to reconstruct the gaps in satellite imagery caused by cloud cover, enabling a clearer view of Earth’s surface over time. This approach supports a variety of applications, including environmental monitoring and agricultural planning.
Another application, Multi-Temporal Crop Segmentation, uses satellite imagery to classify and map different crop types and land cover across the United States. By analyzing time-sequenced data and layering U.S. Department of Agriculture’s Crop Data, Prithvi Geospatial can accurately identify crop patterns, which in turn could improve agricultural monitoring and resource management on a large scale.
The flood mapping dataset can classify flood water and permanent water across diverse biomes and ecosystems, supporting flood management by training models to detect surface water.
Wildfire scar mapping combines satellite imagery with wildfire data to capture detailed views of wildfire scars shortly after fires occurred. This approach provides valuable data for training models to map fire-affected areas, aiding in wildfire management and recovery efforts.
Burn scar mapping generated by NASA and IBM’s open-source Prithvi Geospatial artificial intelligence model. This model has also been tested with additional downstream applications including estimation of gross primary productivity, above ground biomass estimation, landslide detection, and burn intensity estimations.
“The updates to this Prithvi Geospatial model have been driven by valuable feedback from users of the initial version,” said Rahul Ramachandran, AI foundation model for science lead and senior data science strategist at NASA’s Marshall Space Flight Center in Huntsville, Alabama. “This enhanced model has also undergone rigorous testing across a broader range of downstream use cases, ensuring improved versatility and performance, resulting in a version of the model that will empower diverse environmental monitoring applications, delivering significant societal benefits.”
The Prithvi Geospatial Foundation Model was developed as part of an initiative of NASA’s Office of the Chief Science Data Officer to unlock the value of NASA’s vast collection of science data using AI. NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT), based at Marshall, IBM Research, and the Jülich Supercomputing Centre, Forschungszentrum, Jülich, designed the foundation model on the supercomputer Jülich Wizard for European Leadership Science (JUWELS), operated by Jülich Supercomputing Centre. This collaboration was facilitated by IEEE Geoscience and Remote Sensing Society.
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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By European Space Agency
Researchers have achieved a breakthrough in bringing 5G technology to space, marking a pivotal moment in telecommunications history. The 5G Infrastructure Study (5G-IS), funded by ESA’s Connectivity and Secure Communications directorate, has mapped out how satellites can deliver reliable 5G connectivity worldwide.
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By Space Force
SecAF Kendall delivered a speech to USAFA cadets about the qualities necessary for strong leadership and why capable, insightful, moral leaders are more essential than ever in defense of the nation.
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