DATA SCIENCE & SYSTEM SECURITY
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From planetary image analysis to spacecraft monitoring, AI is becoming an increasingly important tool in space exploration and development. Our AI-powered monitoring solution will perform intricate checks to ensure the spacecraft and satellites operate correctly during the production and operation phases.
The spacecraft and satellites install a large number of sensors to monitor the system and operation environment. In real applications, many sensors report categorical values rather than numerical readings. Unfortunately, most existing monitoring methods are designed only for numerical sensors and cannot be used on categorical sensors. In this project, we focus on designing and developing an efficient and effective AI-based engine to monitor numerical and categorical sensor data on spacecraft and satellites.
In addition to new engine development for spacecraft and satellites, we also focus on building AI-based solutions for other space systems and exploration tasks with our customers, including applications for drones, UAVs, autonomic driving and navigation, etc.
Team Members: LuAn Tang, Peng Yuan, Haifeng Chen
NEC Labs America is proud to attend NeurIPS 2024 in Vancouver, Canada from December 10-15. Zachary Izzo will present Subgroup Discovery with the Cox Model, Shaobo Han will present VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks and Jonathan Warrell will present Discrete-Continuous
We are thrilled to announce the launch of our latest research initiative, the Trustworthy Generative AI Project. This ambitious project is set to revolutionize how we interact with multimodal content by developing cutting-edge generative models capable of compositional generation and reasoning across
Chris White discusses the evolution of scientific disciplines, which often begin with exploration driven by curiosity and experimentation. As fields grow in complexity and cost, they shift to theoretical frameworks that optimize research. This transition is crucial for sustainable progress. Currently,
The development of next-generation sequencing (NGS) has enabled the discovery of cancer-specific driver gene alternations, making precision medicine possible. However, accurategenetic testing requires a sufficient amount of tumor cells in the specimen. The evaluation of tumor content ratio (TCR) from
NEC Laboratories Europe and NEC Laboratories America have developed MateriAI, an AI-based, material design platform that accelerates the development of new, environmentally friendly materials. The prototype platform was initially designed to overcome major hurdles in the creation of new synthetic, organic
Existing underground fiber-optic telecommunications cable networks that can be accessed through street manholes are helping a team at NEC Labs America improve wireless communications systems and the Internet of Things (IoT). “Hundreds of millions of fiber-optic cables are already there for communications
The age of computer vision is upon us, and it’s transforming the way we live, work and interact with the world. Nearly every industry has found a use case to grow revenue, reduce cost, or create exceptional experiences using computer vision. From self-driving cars to retail automation, surgeons to
We are helping to safely bring the first woman astronaut to the moon as part of NASA – National Aeronautics and Space Administration’s Artemis Project with our System Invariant Analysis Technology (SIAT). With Lockheed Martin Space’s T-Tauri AI platform, our SIAT analytics engine takes the data from
By 2024, the spacecraft “Orion” developed by Lockheed Martin will bring humans to the moon in NASA’s Artemis program. The system invariant analysis technology, one of NEC’s Artificial Intelligence technologies, will perform checks to ensure that the spacecraft is tested and operating properly during
Optical fibers have a sensing function that captures environmental changes around the fiber cable. According to the recent technology evolution of optical transmission and AI, the application of the fiber sensing has expanded and visualization accuracy has improved. We have proposed to monitor the traffic
