The Scientific Machine Learning team from MLJC presents at JuliaCon 2021

The Scientific Machine Learning team from MLJC presents at JuliaCon 2021

by Simone AzeglioNo Comments
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...
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MLJC gets on the Neurohackathor 2021 podium

MLJC gets on the Neurohackathor 2021 podium

by Pio Raffaele FinaNo Comments
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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Presentations from AAAI-MLPS 2021 published

by Valerio PagliarinoNo Comments
The MLJC has recently worked in the field of Scientific Machine Learning and its applications, thanks to various Julia libraries developed by Chris Rackauckas, who is contributing to the development of #SciML with his great work.Therefore, we suggest listening to his amazing talk on Continuous-Time Echo State Nets, which you can find below. #science#research#machinelearning#ai ...
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Recruitment for Projects starting from Febr. 2021

by Marina Rizzi1 Comment
We are opening the recruitment for our projects starting February 2021. The groups that are open for participation are: Theoretical Machine LearningNatural 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 ...
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