MLJC members invited to the Uniwersytet Mikołaja Kopernika w Toruniu for the THUS 2021

MLJC members invited to the Uniwersytet Mikołaja Kopernika w Toruniu for the THUS 2021

It was our pleasure to have been invited to the Uniwersytet Mikołaja Kopernika w Toruniu for the THUS 2021 – Torun Humanities and Social Sciences Summer Program.

The group of the Machine Learning Journal Club composed by Pietro Sillano Beatrice Villata Simone Poetto Arianna Di Bernardo, worked on the project “Machine learning and digital humanities – new approach to old questions”, developing a NLP pipeline to extract information from ancient Latin documents. Code and project description will be available soon on our github!

Thanks to dr Piotr Pranke Weronika Sójka Zofia Piętka-Danilewicz Karolina Finc Neurotechnology Scientific Student Club for the great opportunity and the amazing journey, and see you in Turin!

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

https://www.linkedin.com/feed/update/urn:li:activity:6824315128419237888

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

https://www.linkedin.com/feed/update/urn:li:activity:6825368389255475200

The Scientific Machine Learning team from MLJC presents at JuliaCon 2021

The Scientific Machine Learning team from MLJC presents at JuliaCon 2021

It’s been an honour for our Scientific Machine Learning team (Luca Bottero, Valerio Pagliarino, Simone Azeglio, Francesco Calisto) to give a lighting talk at JuliaCon 2021. It is about a real world test of the Julia #SciML ecosystem, using #NeuralPDE.jl in particular.
You can take a look at it on the Julia Programming Language Youtube channel: https://lnkd.in/duM_FiG .

We would like to thank HPC4AI, Chris Rackauckas, Università degli Studi di Torino, Luca Peyron for their valued help.

#ai #machinelearning #pinns

The Scientific Machine Learning team from MLJC will present their work on Physics Informed Neural Networks applied to modelization of the level-set equation for applications in environmental physics to the 2021 edition of JuliaCon, which will take place from 28th to 30th of July. Their work has been accepted as a lightning talk, so it will consist in a ten minute presentation. They are looking forward to submitting the paper to the JuliaCon proceedings as well. We will add the link to the talk as soon as it is released.

Recruitment for Projects starting from Febr. 2021

We are opening the recruitment for our projects starting February 2021. The groups that are open for participation are:

  • Theoretical Machine Learning
  • Natural Language Processing and Social Sciences, 
  • Machine Learning for Health and Brain Computer Interface. 

These projects are intended to be both for beginner and experienced people. Beginners will have the opportunity to confront themselves with discussions with more experienced students. The final aim of these projects is to create innovative knowledge and materials, to participate in competitions, and to create a network of people with common interests.
You can find all the technical details of the projects here.

In order to participate to one or more of the groups, please fill the following form: https://docs.google.com/forms/d/e/1FAIpQLSdvKcoS5qZCfA3D2V4XsHeSp6kzyI5L2FcQcJ2PVyEm0u3Eng/viewform?usp=sf_link

The deadline for the registration is the 15th February 2021.

In case of need of more information, feel free to contact us at: info@mljc.it

We hope to hear from you soon!
The MLJC Team