PyCOMPSs and dislib
Transparent parallelisation of user code and seamless execution of the same code on different backends from the edge to the cloud and HPC clusters.
AI in cloud, edge and infrastructure is a field where the exploitation of data is crucial. This section makes the point on some recent advances in the field by giving references on ongoing research projects.
Transparent parallelisation of user code and seamless execution of the same code on different backends from the edge to the cloud and HPC clusters.
Expanding European AI frontiers by harnessing the potential of Large-Scale AI models in collaboration with EuroHPC-JU
Machine learning algorithm for delineation and zoning blueberry fields using UAV multispectral images and calculated vegetation index maps. This work has been carried out in the scope of the H2020 FlexiGroBots project, which has been funded by the Euro...
Deep learning algorithm for segmenting blueberry rows within orchards using UAV multispectral images. This work has been carried out in the scope of the H2020 FlexiGroBots project, which has been funded by the European Commission in the scope of its H...
Atcrecognize extracts text from images that contain label tags. Using its underlying deep learning technology, atcrecognize enhances the image, removes the unnecessary parts of the image, and feeds into the ocr model that extracts the text with more preci...