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acceleration approaches across different sensing and fault scenarios, thereby informing hardware and architecture trade-offs for future missions. (b) Designing and developing ML and AI algorithms to enhance FDIR
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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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: Some artificial intelligence techniques require a large amount of memory and high-performance processors. For this topic, the objective is to study and develop benchmarks to evaluate the different
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of computer science and applied mathematics. Areas of research are partly chosen by you based on expert judgment, insights into trends and developments, and partly chosen by the team to follow the strategic directions