Convolutional Neural Networks (CNNs) are more and more being used to solve very different kind of problems on ground and are also suitable to solve Space problems, e.g. visual based tasks for rovers. Embedding a CNN into an operational on-board software (OBSW) or hardware is challenging as the CNNs are composed by hundreds of operations and they request an extensive amount of memory that need to be used efficiently.

System modelling tools allow analysis of the propellant chemical and fluid dynamic behaviour through the complete propulsion system, from the tanks through the connecting pipes, valves, manifolds, combustion elements and nozzles. These tools support the design and verification of rocket propulsion systems and troubleshoot anomalies during the utilisation phase.The appearance of new propulsion concepts necessitates extensions of these numerical tools.

Medical imaging capabilities available in the ISS are today limited to an ultrasound scanner. While ultrasound offers a number of advantages, it also has several constraints, in particular in terms of operator dependence and difficulty in acquiring a high-quality images. In the field of medical imaging, ESA has for several years sponsored a number of activities focusing on ultrasound.

The ASIL2ECSS ESA-funded activity aims to reduce the space qualification cost by reusing hardware and software developed for the automotive domain, which complies with the ISO 26262 functional safety standard. In order to do so, ASIL2ECSS created a mapping between the various ECSS standards and ISO 26262 and related automotive standards in a structured way.

The presence of autonomous software systems as well as artificial intelligence components in onboard software is becoming increasingly widespread in space missions. As autonomous software is finding its way into more and more missions, having a unified approach for the product assurance of this type of software that can be made applicable across projects is essential.Many of the software product assurance requirements currently in place for space missions could be impacted by autonomous software, from fundamental topics like criticality analysis, down to detailed software quality metrics.

Currently extensive mission preparation / mission customisation ("missionisation") activities are required for each specific launch trajectory. This approach is costly and each launch can take place only within a narrow set of conditions (e.g. wind) risking postponement, increasing cost even further. Using a more aircraft like approach with guidance and control preparation according to flight envelope not per trajectory, while increasing operational availability and safety early in the development process is essential to achieve the benefits of recurrent space transportation flight.

In time scales of minutes the solar subflares and gamma ray bursts, like GRB221009A, can respectively release, small but close and huge but very far away amounts of electromagnetic energy, in Extreme Ultraviolet (EUV), X-ray and γ- ray, among other bands. However the availability of conventional astronomical sensors for these bands, for instance in EUV, fundamental to characterize the habitability zone of exoplanets in hosting stars, is presently very limited or just non existing.

ESA Patent 756 presents a compact dual-polarization four-way power divider, enabling the design of passive waveguide arrays with small element spacing (below one wavelength). That invention was originated as a mean to reduce the length of radiating elements in space-segment feed systems for GEO satellite communication applications, including passive multiple beam reflector antennas and active arrays. This requires compact power dividers, preferably operating in dual-polarization.

Activity addresses the necessity of developing a competitive European Sep