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AI in Space

Edge learning has the potential to revolutionize the development of AI for space applications, and AI Sweden’s focus in this area is exploring technologies that can be used for high-impact use cases.

Current activities

Watch as Chiara Ceccobello talks about 'AI in Space' during the event 'The Latest Advancements in Decentralized Learning' in Gothenburg on April 23, 2024.

Swarm and aggregation

Why edge learning in space?

Today, AI models are trained by transferring as much data as possible from sensors to a central storage and compute location. In general, the more data, the better the quality of the resulting model. However, as the number of satellites increases, the available bandwidth to transfer data will become less and less. Thus, data transfer costs are expected to rise, it will take longer to transfer enough data to Earth to train models, and the models will be less accurate if less data is transferred. 

Edge learning (also known as decentralized learning, federated learning, or swarm learning) is a technology that has the potential to revolutionize the development of AI for space applications by solving these challenges. This would save both money and resources since there is no need to send large amounts of data to the Earth.

Ongoing projects

A satellite seen in space looking down towards earth

SpaceEdge 2

The trend of mega satellite constellations with advanced sensors that produce enormous amounts of data is currently transforming the space industry. The entrance of these constellations will require...
Satellite view

Swedish Space Data Lab 3.0

Space data can be used for weather forecasting, climate monitoring, forestry, and agriculture. The need to analyze, make available, and coordinate data is steadily increasing. The Swedish Space Data...

Past projects

A satellite approaching the viewer, captured from an aerial perspective, with a backdrop of blue sky and clouds below

Space Data Hackathon

One of the largest challenges when it comes to space data analysis is cloud occlusion, which means that areas on the images are fully or partially covered by clouds and hamper the analysis. By...
An image displaying satellites in space above earth


SpaceEdge is the world’s first open testbed for space app development with the possibility for developers to upload their apps to SpaceCloud in-orbit.
Satellite image taken above Sweden

Swedish Space Data Lab 1.0

The objective of the Swedish Space Data Lab is to increase the use of data from space for the development of society and industry and for the good of the planet. Swedish Space Data Lab, is a...


PAseos Simulates the Environment for Operating multiple Spacecraft

PASEOS is an open-source Python module that is capable of modeling operational scenarios involving one or multiple spacecraft. It considers several physical phenomena including thermal, power, bandwidth, and communications constraints as well as the impact of radiation on spacecraft. PASEOS can be run both as a high-performance-oriented numerical simulation and/or in a real-time mode directly on edge hardware. Find the code here and the accompanying paper here.



If you are interested in becoming a partner of AI Sweden, and getting access to the partner benefits, including the Labs, please feel free to reach out.

For more information, contact

Chiara Ceccobello
Chiara Ceccobello
Data Scientist