Sierra Space Advances Space Domain Awareness with NVIDIA
Sierra Space has announced a significant advancement in space domain awareness through a collaboration with NVIDIA. The company is implementing physics-informed neural networks (PINNs) to predict the locations of orbital debris, addressing the growing challenge of space safety.
The innovative approach combines physical laws with neural network architectures to enhance prediction accuracy while reducing computational overhead. PINNs are trained using satellite observations and historical tracking data to understand and predict debris trajectories in real-time.
Through NVIDIA's AI and accelerated computing capabilities, Sierra Space can process vast amounts of data simultaneously, enabling faster model training and inference for real-time applications. This collaboration aims to improve the safety and operational integrity of space assets by enabling timely and effective evasive actions when needed.
Sierra Space ha annunciato un significativo avanzamento nella consapevolezza del dominio spaziale grazie a una collaborazione con NVIDIA. L'azienda sta implementando reti neurali informate dalla fisica (PINNs) per prevedere le posizioni dei detriti orbitali, affrontando la crescente sfida della sicurezza spaziale.
L'approccio innovativo combina le leggi fisiche con architetture di reti neurali per migliorare l'accuratezza delle previsioni riducendo al contempo il carico computazionale. Le PINNs vengono addestrate utilizzando osservazioni satellitari e dati storici di tracciamento per comprendere e prevedere le traiettorie dei detriti in tempo reale.
Grazie alle capacit脿 di AI e calcolo accelerato di NVIDIA, Sierra Space pu貌 elaborare enormi quantit脿 di dati simultaneamente, consentendo una formazione e un'inferenza pi霉 rapida dei modelli per applicazioni in tempo reale. Questa collaborazione mira a migliorare la sicurezza e l'integrit脿 operativa dei beni spaziali consentendo azioni evasive tempestive ed efficaci quando necessario.
Sierra Space ha anunciado un avance significativo en la conciencia del dominio espacial a trav茅s de una colaboraci贸n con NVIDIA. La empresa est谩 implementando redes neuronales informadas por la f铆sica (PINNs) para predecir las ubicaciones de los desechos orbitales, abordando el creciente desaf铆o de la seguridad espacial.
El enfoque innovador combina leyes f铆sicas con arquitecturas de redes neuronales para mejorar la precisi贸n de las predicciones mientras reduce la carga computacional. Las PINNs se entrenan utilizando observaciones satelitales y datos de seguimiento hist贸ricos para comprender y predecir las trayectorias de los desechos en tiempo real.
A trav茅s de las capacidades de IA y computaci贸n acelerada de NVIDIA, Sierra Space puede procesar enormes cantidades de datos simult谩neamente, lo que permite un entrenamiento y una inferencia de modelos m谩s r谩pidos para aplicaciones en tiempo real. Esta colaboraci贸n tiene como objetivo mejorar la seguridad y la integridad operativa de los activos espaciales al permitir acciones evasivas oportunas y efectivas cuando sea necesario.
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Sierra Space a annonc茅 une avanc茅e significative dans la sensibilisation au domaine spatial gr芒ce 脿 une collaboration avec NVIDIA. L'entreprise met en 艙uvre des r茅seaux de neurones inform茅s par la physique (PINNs) pour pr茅dire les emplacements des d茅bris orbitaux, relevant ainsi le d茅fi croissant de la s茅curit茅 spatiale.
Cette approche innovante combine des lois physiques avec des architectures de r茅seaux de neurones pour am茅liorer la pr茅cision des pr茅dictions tout en r茅duisant la surcharge computationnelle. Les PINNs sont entra卯n茅s 脿 l'aide d'observations satellites et de donn茅es historiques de suivi pour comprendre et pr茅dire les trajectoires des d茅bris en temps r茅el.
Gr芒ce aux capacit茅s d'IA et de calcul acc茅l茅r茅 de NVIDIA, Sierra Space peut traiter d'茅normes quantit茅s de donn茅es simultan茅ment, permettant un entra卯nement et une inf茅rence de mod猫les plus rapides pour des applications en temps r茅el. Cette collaboration vise 脿 am茅liorer la s茅curit茅 et l'int茅grit茅 op茅rationnelle des actifs spatiaux en permettant des actions d'茅vasion rapides et efficaces lorsque cela est n茅cessaire.
Sierra Space hat einen bedeutenden Fortschritt im Bereich des Raumdomenbewusstseins durch eine Zusammenarbeit mit NVIDIA bekannt gegeben. Das Unternehmen implementiert physikinformierte neuronale Netzwerke (PINNs), um die Standorte von orbitalen Tr眉mmern vorherzusagen und damit die wachsende Herausforderung der Sicherheit im Weltraum zu bew盲ltigen.
Der innovative Ansatz kombiniert physikalische Gesetze mit Architekturen neuronaler Netzwerke, um die Vorhersagegenauigkeit zu verbessern und gleichzeitig den Rechenaufwand zu reduzieren. PINNs werden mit Hilfe von Satellitenbeobachtungen und historischen Verfolgungsdaten trainiert, um die Trajektorien von Tr眉mmern in Echtzeit zu verstehen und vorherzusagen.
Dank der KI- und beschleunigten Rechenf盲higkeiten von NVIDIA kann Sierra Space riesige Datenmengen gleichzeitig verarbeiten, was eine schnellere Modellbildung und Inferenz f眉r Echtzeitanwendungen erm枚glicht. Diese Zusammenarbeit zielt darauf ab, die Sicherheit und operationale Integrit盲t von Weltraumg眉tern zu verbessern, indem sie rechtzeitige und effektive Ausweichma脽nahmen erm枚glicht, wenn dies erforderlich ist.
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Company to Utilize Cutting-Edge Physics-Informed Neural Networks, Predicting Locations of Orbital Debris
Collaboration with NVIDIA to Heighten Operational Speed and Efficiency to Ensure Safety and Operational Integrity of Space Assets
Sierra Space announced that it is advancing space domain awareness with NVIDIA, utilizing cutting-edge physics-informed neural networks to predict locations of orbital debris. (Photo: Sierra Space)
As the volume of orbital debris continues to grow, the need for precise and reliable prediction methods has never been more critical to ensure safety and operational integrity of our space assets. Traditional models often fall short in accounting for the complex dynamics of space environments. However, by integrating the principles of physics directly into neural network architectures, Sierra Space has developed a solution that not only enhances prediction accuracy but also significantly reduces computational overhead.
"At Sierra Space, we are committed to pioneering innovative solutions that ensure the safety and operational integrity of our space assets. By leveraging physics-informed neural networks and collaborating with NVIDIA, we are setting a new standard in space domain awareness,鈥� said Sierra Space CEO Tom Vice. 鈥淭his advancement not only enhances our ability to predict the future locations of orbital objects with unprecedented accuracy but also significantly improves the computational efficiency of our models. Together, we are making space safer for all."
Innovative Use of Physics-Informed Neural Networks
PINNs represent a revolutionary approach to modeling and predicting the behavior of orbital debris. By embedding physical laws into the neural network's structure, these models can simulate the intricate interactions and forces acting on debris in orbit. This allows for more accurate predictions of future locations and potential intersections with operational spacecraft.
Sierra Space PINNs are trained to understand and predict the trajectories of debris by incorporating data from various sources, including satellite observations and historical tracking information. This data-driven approach, combined with the inherent understanding of physical laws, enables real-time predictions and alerts, ensuring that operational spacecraft can take timely and effective evasive actions.
Collaborating with NVIDIA: Powering Advanced Computation
Sierra Space鈥檚 innovations in space domain awareness initiatives is enabled by a collaboration with NVIDIA. Utilizing NVIDIA AI and accelerated computing for both training and inference, Sierra Space models can achieve heightened computational efficiency and speed. NVIDIA accelerated computing is specifically designed to handle the intensive computational demands of deep learning models, making them an ideal choice for Sierra Space鈥檚 PINN-based solutions.
NVIDIA's GPUs enable the processing of vast amounts of data simultaneously, significantly reducing the time required for model training and inference. This capability is crucial for real-time applications where timely predictions can make the difference between a safe maneuver and a potential collision.
"At Sierra Space, we are constantly pushing the boundaries of what is possible in space. By leveraging the power of NVIDIA accelerated computing and deep learning, we are not only enhancing the accuracy of our predictions but also ensuring the safety and operational integrity of our space assets,鈥� said Dr. Joe Kopacz, Sierra Space鈥檚 Vice President of Software Engineering & AI Strategy.
鈥淥ur collaboration with NVIDIA has been instrumental in achieving the computational efficiency required for real-time applications. This advancement marks a significant milestone in our mission to protect the space environment and ensure sustainable operations for the future."
About Sierra Space
is a leading commercial space company at the forefront of innovation and the commercialization of space in the Orbital Age庐, building an end-to-end business and technology platform in space to benefit life on Earth. With more than 30 years and 500 missions of space flight heritage, the company is reinventing both space transportation with 庐, the world鈥檚 only commercial spaceplane, and the future of space destinations with the company鈥檚 inflatable and expandable space station technology. Using commercial business models, the company is also delivering orbital services to commercial, DoD and national security organizations, expanding production capacity to meet the needs of constellation programs. In addition, Sierra Space builds a host of systems and subsystems across solar power, mechanics and motion control, environmental control, life support, propulsion and thermal control, offering myriad space-as-a-service solutions for the new space economy.
About NVIDIA
(NASDAQ: NVDA) is the world leader in accelerated computing.
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MEDIA CONTACTS:
Alex Walker, Sierra Space
(303) 803-2297 | alex.walker@sierraspace.com
Source: Sierra Space
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