🎉 We have won the demo contest at the virtual #EOSChubWeek! The @DEEP_eu demo shows how to easily deploy, train and share your deep learning model both in #Cloud and #HPC systems!
💻 Presentation on the demo: https://t.co/vJuvKLba8E
🎥 Demo: https://t.co/MT5rAO232r
Have a look 😍 to the first promising results of the @eu_imagine#AI platform for aquatic science use cases!
➡️ https://t.co/7mv8bxdWdj
These are possible thanks to the synergies with @AI4EOSC and @DEEP_eu projects 💪
AI-based fish detection and classification trials at @OBSEAsarti. The video has been produced with a YOLOv8 neural network trained with 500 tagged images during @eu_imagine project. Training were provided by the DEEP Hybrid Data Cloud Platform. @EMSOeu@la_UPC
Do you want to know more about our project? Do not miss this afternoon (highly attended) session at @EGI_eInfra#EGI2023 on AI oin distributed environments where will be presenting our #EOSC work.
🧐 Privacy matters! In our latest @ScientificData work we present pyCANON, a #Python library that can help #DataScience users to check the level of #anonimity of a dataset
https://t.co/9XAtKOChbQ
So excited to start a new project with a wonderful consortium!
We will be leading the technological platform (based on @DEEP_eu) that will support the 8 different #ArtificialIntelligence#MachineLearning use cases that will exploit image data focused on aquatic sciences
Our latest paper "A serverless gateway for event-driven machine learning inference in multiple clouds", initially envisioned in @DEEP_eu and extended within @ai_sprint is available in https://t.co/SNrfiPtfhE
📢On December 1st, we are hosting the webinar: How to train your #AI models in #EOSC, with Ignacio Heredia and Álvaro López García (@IFCA_CSIC_UC@CSIC )
Register now!
@DEEP_eu
https://t.co/rOQSbzP9t7
Looking for an 'at a glance' overview of the #EGIACE project? Have a look at the project's infographic!
Visit the webpage to find the PDF file, and more information about the project.
🔗https://t.co/08TahfepaE
#EGIACE#EOSCComputePlatform#EOSC
The @DEEP_eu services are still supporting scientific use cases, like this one on the modelling of breast cancer optical properties with generative models developed by @gif_uc at @unican#deeplearning
Are you searching for #compute, #storage services or advanced platforms like @DEEP_eu for your #research project?
Apply now to the EGI-ACE call for use cases!
https://t.co/rlx0TaJ99U
Are you looking for advanced platforms to create #deeplearning#machinelearning or #artificialintelligence applications for your #research project?
Our platform is now available through the EGI-ACE project, that has launched a new call for use cases!
https://t.co/zbrgp8AJr4
🚀Did you know? The EGI Federated Cloud sky-rocketed in 2020! 🚀
The compute power delivered to researchers has now doubled, reaching > 40 Million CPU hours/year!
📈Check out the full trends 👇
https://t.co/bBCQS0IXkL