Video streaming is now ubiquitous and fundamental for numerous business applications, including web streaming, remote sensing and satellite monitoring. Current efforts are being made into designing new video codecs that can reduce the bitrate required for storage and transmission of high-quality videos.
To enable a variety of big data applications, the market needs highly efficient data management technologies: satellite data are notoriously big, raising challenges not only from the perspective of analytic applications, but also to be efficiently stored and retrieved.
AyraDB was designed to address these challenges.
The project confirmed the potential of ML models in the field of air pollution, to produce air quality forecasts at high spatial resolutions with a lower computational burden than that required for Chemical Transport Model (CTM) simulations.