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 capacità di AI e calcolo accelerato di NVIDIA, Sierra Space può elaborare enormi quantità di dati simultaneamente, consentendo una formazione e un'inferenza più rapida dei modelli per applicazioni in tempo reale. Questa collaborazione mira a migliorare la sicurezza e l'integrità 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 través de una colaboración con NVIDIA. La empresa está implementando redes neuronales informadas por la física (PINNs) para predecir las ubicaciones de los desechos orbitales, abordando el creciente desafío de la seguridad espacial.
El enfoque innovador combina leyes físicas con arquitecturas de redes neuronales para mejorar la precisión de las predicciones mientras reduce la carga computacional. Las PINNs se entrenan utilizando observaciones satelitales y datos de seguimiento históricos para comprender y predecir las trayectorias de los desechos en tiempo real.
A través de las capacidades de IA y computación acelerada de NVIDIA, Sierra Space puede procesar enormes cantidades de datos simultáneamente, lo que permite un entrenamiento y una inferencia de modelos más rápidos para aplicaciones en tiempo real. Esta colaboración tiene como objetivo mejorar la seguridad y la integridad operativa de los activos espaciales al permitir acciones evasivas oportunas y efectivas cuando sea necesario.
시에라 스페이스는 NVIDIA와의 협력을 통해 우주 도메인 인식에 대한 중요한 발전을 발표했습니다. 이 회사는 물리적 정보가 포함된 신경망(PINNs)을 구현하여 궤도 잔해의 위치를 예측함으로써 우주 안전의 증가하는 도전을 해결하고 있습니다.
혁신적인 접근 방식은 물리 법칙과 신경망 아키텍처를 결합하여 예측 정확성을 높이는 동시에 컴퓨팅 과부하를 줄입니다. PINNs는 위성 관측 및 역사적 추적 데이터를 사용하여 잔해의 궤적을 이해하고 실시간으로 예측하는 데 훈련됩니다.
NVIDIA의 AI 및 가속 컴퓨팅 기능을 통해 시에라 스페이스는 방대한 양의 데이터를 동시에 처리할 수 있어 실시간 응용 프로그램을 위한 모델 훈련 및 추론 속도를 높일 수 있습니다. 이 협력의 목표는 필요할 때 신속하고 효과적인 회피 조치를 가능하게 함으로써 우주 자산의 안전과 운영 무결성을 개선하는 것입니다.
Sierra Space a annoncé une avancée significative dans la sensibilisation au domaine spatial grâce à une collaboration avec NVIDIA. L'entreprise met en œuvre des réseaux de neurones informés par la physique (PINNs) pour prédire les emplacements des débris orbitaux, relevant ainsi le défi croissant de la sécurité spatiale.
Cette approche innovante combine des lois physiques avec des architectures de réseaux de neurones pour améliorer la précision des prédictions tout en réduisant la surcharge computationnelle. Les PINNs sont entraînés à l'aide d'observations satellites et de données historiques de suivi pour comprendre et prédire les trajectoires des débris en temps réel.
Grâce aux capacités d'IA et de calcul accéléré de NVIDIA, Sierra Space peut traiter d'énormes quantités de données simultanément, permettant un entraînement et une inférence de modèles plus rapides pour des applications en temps réel. Cette collaboration vise à améliorer la sécurité et l'intégrité opérationnelle des actifs spatiaux en permettant des actions d'évasion rapides et efficaces lorsque cela est nécessaire.
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 Trümmern vorherzusagen und damit die wachsende Herausforderung der Sicherheit im Weltraum zu bewältigen.
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 Trümmern in Echtzeit zu verstehen und vorherzusagen.
Dank der KI- und beschleunigten Rechenfähigkeiten von NVIDIA kann Sierra Space riesige Datenmengen gleichzeitig verarbeiten, was eine schnellere Modellbildung und Inferenz für Echtzeitanwendungen ermöglicht. Diese Zusammenarbeit zielt darauf ab, die Sicherheit und operationale Integrität von Weltraumgütern zu verbessern, indem sie rechtzeitige und effektive Ausweichmaßnahmen ermöglicht, 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,” said Sierra Space CEO Tom Vice. “This 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’s 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’s 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,” said Dr. Joe Kopacz, Sierra Space’s Vice President of Software Engineering & AI Strategy.
“Our 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
Sierra Space is a leading commercial space company at the forefront of innovation and the commercialization of space in the Orbital Age®, 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 Dream Chaser®, the world’s only commercial spaceplane, and the future of space destinations with the company’s 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
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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