May 2021
Forecasting space-weather effects on Earth
... models have been proposed for solar wind forecasting of Dst. They include empirical, physics-based and Machine Learning (ML) approaches. Of particular interest are the ML models, which have raised significant interest from the space physics...
October 2016
Project MOONWALK
...stream provided by the omnicam. The robot used machine learning to learn the features of the astronaut. This generic approach... control, or where specialists operate attention-demanding machines. Integrated in smart cothing, biomonitoring systems based...
October 2019
Ground segment transformation - convergence of NewSpace and the cloud
... emerging solution will create better products and services for the end user. Big data analytics, machine learning and artificial intelligence (AI) applications require large amounts of data to provide great solutions. Space-originated data presents...
February 2022
FPGA computing reaches new heights
...applications like beamforming. The array is also very efficient at implementing many of the AI (Artificial Intelligence) Machine Learning algorithms now being deployed in a vast range of applications. ADK-VA600 6U VPX Platform. AI in Space Satellites...
April 2024
The promise of space-based LiDAR
... an unprecedented scale, providing a more extensive and diverse training dataset. The value of LiDAR data for AI and machine learning is unparalleled, as it offers billions of data points with discrete values, eliminating the need for estimations and...
April 2025
Space sustainability and the role of space situational awareness
... only preserving the orbital domain but securing the future of humanity’s endeavours beyond Eart The integration of machine learning and artificial intelligence (AI) is on the rise within the SSA community, which will help data analytics to provide...
