MLJC starts new project on Realtime Scientific Machine Learning

MLJC starts new project on Realtime Scientific Machine Learning

We are now ready for the next stage: our new projects on #BCIs and Realtime Scientific Machine Learning (by exploiting Xilinx‘s #FPGAs + NVIDIA Jetson Xavier) can finally take place. Further updates are coming on our website (www.mljc.it) as well as a more detailed prospectus.

The MLJC would like to express special appreciation to NPO Torino s.r.l. for providing us with this equipment and to Università degli Studi di Torino and HPC4AI for their support to our activities.

Luca Peyron Massimo Altamore Francesco Dipietromaria
#machinelearning#ai#innovation#deeplearning#mljc

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Machine Learning Journal Club selected in the EO Dashboard Hackathon by ESA, NASA, JAXA

We are glad to announce that the Machine Learning Journal Club team, composed by Beatrice Villata Andrea Semeraro Luca Pezzini Micol Olocco and Luca Bottero , has been selected as one of the finalist competitors in the EO Dashboard Hackathon (https://lnkd.in/dWRtmkq), organized by NASA – National Aeronautics and Space Administration, European Space Agency – ESA and JAXA: Japan Aerospace Exploration Agency!

Together with 31 other projects, our project about “How was the lockdown from up there? A cross-country comparison in air quality” has been chosen among the 232 submitted in total. Proud of the possibility to compete against amazing teams, we wish everyone good luck!

#ai #research #m #machinelearning #mljc #nasa #space #science

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