A welcome addess from Professor Agnieszka Pollo
Over the last decades biology and medicine have become data sciences. High-throughput ('omics') data on the level of gene expression, metabolic activity, epigenetic regulation and others now serve as a prominent source of systemic information. This makes these fields accessible to data-driven computational methods, in particular network science and machine learning.
Network science...
Exciting advancements in remote sensing, AI, and edge computing are transforming scientific and industrial sectors via in-orbit data processing. This technology enables real-time applications such as environmental monitoring, precision agriculture, disaster detection, and in-orbit anomaly detection from telemetry data. Integrating AI into space-based systems and edge devices swiftly converts...
Earth observation data are constantly being produced by constantly growing number of satellites. Processing these data efficiently consists a major challenge and not all the produced data is processed and analyzed. At the same time Earth observation provides important information about our ecosystems in the age of rapidly changing climate. For this reason research on application of quantum...
