Report from the MLJC stand at SHARPER
Castello del Valentino - Photo credits: https://commons.wikimedia.org/wiki/File:Castello_del_Valentino_(8062075958).jpg
The Machine Learning Journal Club will be present at the SHARPER - European Researchers' Night in Turin on September 24th 2021, organized by the University of Turin and Politecnico of Turin. The title of the stand will be "MACHINE LEARNING E L’INTELLIGENZA ARTIFICIALE DEL FUTURO".
At our stand, we will showcase our projects and activities through posters, presentations, videos and some electronic prototypes spacing from Scientific Machine Learning to Brain-Computer Interfaces. You will be able to meet our team and have a good chat about Machine Learning, Artificial Intelligence and emerging technologies in these fields in the beautiful frame of the Castello del Valentino in Turin. See you there!
Visit the website of SHARPER: https://www.sharper-night.it/sharper-torino/
Discover the program: Click here for PDF
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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!
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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
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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
https://www.youtube.com/watch?v=45GdDnuNirg
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...
On 23rd and 24th May 2021 the Medical AI and BCI team from Machine Learning Journal Club participated in the NeuroHackathor 2021, hosted by the Neurotechnology Scientific Student Club from Torùn, Poland.
NeuroHackathor 2021 is an international hackaton for studying engineers, programmists, cognitive scientists and others interested in neurotechnology and human daily living.
The hackathon has been held online, and the Machine Learning Journal Club brought 11 components in 2 teams. Both teams have been awarded with second and third place!
ML1C
MLJC team-1 choosed the "Museum of the future" topic. The aim was the personalization of the museum visitors' experiences using technology. In 24h they developed an idea for an hybrid BCI-NLP-CV system to adapt the picture caption reading using multiple bio-signals as EEG, eye tracking and galvanic skin response.
Arianna Di Bernardo
Flavio Sartori
Gabriele Penna
Letizia Pizzini
Pio Raffaele Fina
Pietro Sillano
Here you can watch their pitch presentation: https://youtu.be/aXXjF_0VPUQ
ML2C
MLJC team-2 choosed to work on the topic: "How to reduce the negative effects of pandemic isolation with neurotechnology?". The...
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