An outstanding opportunity to learn Machine Learning with an "hands-on" approach and get in touch with the Machine Learning Journal Club association.
Introduction to Machine Learning
Corso articolato in 10 lezioni di circa 2h tenuto presso il Dipartimento di Fisica in orario 16-18.Dopo una prima introduzione al Machine Learning, il corso si focalizzerà sulla comprensione e l'implementazione di algoritmi in linguaggio Python, dai più semplici quali Linear e Logistic Regression fino alle Reti Neurali. Nell'ultima parte del corso verrà introdotto il tema del Continual Learning.Rendiamo disponibili le registrazioni delle lezioni sul nostro canale YouTube.Per iscriversi inviare una email a info (at) mljc (dot) it , le date verranno comunicate man mano agli iscritti.
Introduction to ML for Brain Computer Interfaces
Corso articolato in 5 lezioni di circa 2h tenuto presso il Dipartimento di Fisica in orario 17-19.Si parte dalle basi dell'analisi di segnali EEG, illustrando varie tecniche e aspetti del preprocessing per arrivare a comprendere e implementare algoritmi di feature extraction e ...
From Sunday, our project Medical AI has finally restarted with a decisive pace! Many of us gathered to discuss which BCI research to focus on during this academic year. Along with that, we did a demonstration on how to set up and use the EEG caps at our disposal, which we are going to use in the aforementioned research. A big thank you to Associazione Culturale #Comala for providing us with everything we needed, from the space to the monitor. And thanks again to NPO Torino s.r.l. for making it possible to work with EEG caps for our researches and future competitions.
Da domenica, è finalmente ripartito a passo deciso il nostro progetto Medical AI! Molti di noi si sono riuniti per discutere su quali ricerche in ambito BCI concentrarci durante quest'anno accademico. Insieme a ciò, abbiamo fatto una dimostrazione sul come impostare ed utilizzare i caschetti EEG a nostra disposizione, che impiegheremo nelle suddette ricerche. Un grazie infinito all'Associazione Culturale...
The MLJC is happy to announce that Università degli Studi di Torino has been invited to participate in Project-X 2021 (https://lnkd.in/dprN225S), a five-month-long machine learning research competition hosted by the UofT AI. Once again our University will be the only Italian one!The theme of this year is Health: the team composed by Beatrice Villata, Jarno Sandrin, Lorenzo Cicala, Vincenzo Gargano, Trifone Pastore and Benedetta Ciarmoli will work on building a Machine Learning framework for Neoantigen Discovery in Cancer Immunotherapy, under the supervision of Jacopo Pasqualini.Further updates coming soon!HPC4AI#machinelearning #ai #competition #health #genetics
With the participation of
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
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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