Hardware Acceleration

Embedding Artificial Intelligence (AI) onboard satellites is becoming increasingly important in the field of SpaceTech where radiation hardened Commercial-Off-The-Shelf (COTS) hardware accelerators are becoming popular to run machine learning and deep learning workloads for benefits like optimizing transmission bandwidth utilization… Read More »Zero-Shot Embedded Neural Architecture Search for On-board Satellite Tasks & Hardware Accelerators

The Artificial Intelligence Satellite Telecommunications Testbed (AISTT), part of the ESA project SPAICE, is focused on the transformation of the satellite payload by using artificial intelligence (AI) and machine learning (ML) methodologies over available commercial off-the-shelf (COTS) AI-capable chips for… Read More »Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets

In recent years, the space community has been exploring the possibilities of Artificial Intelligence (AI), specifically Artificial Neural Networks (ANNs), for a variety of on board applications. However, this development is limited by the restricted energy budget of smallsats and… Read More »Guidance and Control Neural Network Acceleration using Memristors

Accurate vessel detection and timely information extraction from optical remote sensing imagery are essential for a wide range of maritime surveillance operations, both civilian and defense-related. These operations include vessel tracking, unauthorized fishing, illegal migration monitoring, and search and rescue… Read More »FPGA-based Hardware Acceleration for Real-Time Maritime Surveillance and Monitoring Onboard Spacecraft

Transmitting Earth observation image data from satellites to ground stations incurs significant costs in terms of power and bandwidth. For maritime ship detection, on-board data processing can identify ships and reduce the amount of data sent to the ground. However,… Read More »Low-power ship detection in satellite images using Neuromorphic hardware