SAR Image Formation: Conventional and AI-based approaches on Sentinel-1 Raw Products -- YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking -- GPU@SAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy -- Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance -- Satellite IoT for TT&C and Satellite Identification -- Hardware-in-the-loop simulations of future autonomous space systems aided by artificial intelligence -- Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance -- Imbalanced data handling for deep learning-based autonomous Crater Detection Algorithms in Terrain Relative Navigation -- Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design -- Distribution Shift Metric for Performance Evaluation of Behavioral Cloning Applied to the Fuel-Optimal Landing Problem -- Fault Detection Exploiting Artificial Intelligence in Satellite Systems -- ISS Monocular Depth Estimation Via Deep Learning -- RobDT: AI-enhanced Digital Twins for Space Exploration Robotic Assets -- An Overview of X-TFC Applications for Aerospace Optimal Control Problems -- Innovative ML-based methods for automated on-board spacecraft anomaly detection -- Explainable AI with the Information Bottleneck Principle -- SINAV an ASI study of future AI applications on spatial rovers -- Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project -- Object recognition algorithms for the Didymos binary system -- Towards an explainable Artificial Intelligence approach for ships detection from satellite imagery -- Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation -- Detection of Clouds and Cloud shadows on Sentinel-2 Data Using a CNN -- PRISMA Hyperspectral Image Segmentation with U-Net Convolutional Neural Network using Singular Value Decomposition for Mapping Mining Areas: preliminary results -- Earth Observation Big Data exploitation for water reservoirs continuous monitoring: the potential of Sentinel-2 data and HPC -- Retrieval of marine parameters from hyperspectral satellite data and machine learning methods -- Cooperative Lunar Site Preparation and Open Pit Resource Extraction Using Ground Robots -- Machine learning for SAR processing -- Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. A case study on the Aspromonte National Park -- A Supervised Learning-based Approach to Maneuver Detection Through TLE Data Mining -- A Machine learning approach for Monitoring of GNSS signal quality in Spaceborne receivers: Evil waveform and RF threats.