Machine Learning Journal Club - University of Turin

About us

Read More


Read More

Learn with the MLJC

Read More


Latest News

  • Merry Christmas and Happy New Year from the MLJC
  • Presentation at Toolbox Coworking
    Siamo lieti di comunicare che Giovedì 11 Novembre alle ore 18:00 presenteremo la nostra associazione ed i progetti di ricerca attivi in un evento che si terrà presso il Toolbox Coworking (Via Agostino da Montefeltro 2, Torino).Toolbox è uno spazio ibrido di coworking che favorisce la collaborazione tra associazioni, startup ed imprese: è quindi per noi una grande opportunità poterci esprimere in questo contesto.
  • BCI keynote at Intesa Sanpaolo Innovation Center
    La scorsa settimana siamo stati ospiti di Intesa Sanpaolo Innovation Center per parlare di #BCI (Brain Computer Interface).Se vi siete persi l’appuntamento potete rimediare ascoltando il nostro #podcast!“Brain Computer Interface: un nuovo futuro per le disabilità”, a cura di Gabriele Penna, Pio Raffaele Fina, Pietro Sillano, Machine Learning Journal Club – Spotify:– Google Podcast: Podcast:– Sito di Intesa Sanpaolo: grazie a Sonia D’Arcangelo e Marzio Alessi per averci invitati!
  • MLJC visiting HPC4AI
    Last week a team from MLJC visited the HPC4AI data center hosted by the Computer Science Department of the University of Turin (coord. Prof. Marco Aldinucci). We are grateful to HPC4AI for this opportunity and for providing our association with the computing power that is crucial for developing projects in the field of ML. For this reason HP4AI is not only at the forefront for computing solutions, service reliability and environmental compatibility, […]
  • Medical AI team meet for new EEG caps test
    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 […]
  • Report from the MLJC stand at SHARPER – European Researchers’ Night
  • Meet MLJC in Turin at SHARPER – European Researchers’ Night
    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 […]

SHARPER – European Researchers’ Night 2021 – Turin

The Machine Learning Journal Club participated in the SHARPER – European Researchers’ Night in Turin on September 24th 2021, organized by the University of Turin and Politecnico of Turin, in the beautiful frame of the Castello del Valentino. The title of the stand was “MACHINE LEARNING E L’INTELLIGENZA ARTIFICIALE DEL FUTURO”. At our stand we presented projects spacing from Brain Computer Interfaces to Scientific Machine Learning.

Brain computer Interfaces

The MedicAI team showcased the new BCI hardware from OpenBCI that will allow the team to run custom experiments in order to acquire data for training, validation and testing of new advanced algorithms for EEG signal classification. These last are fundamental for critical applications, for example in allowing communication or the use of computers for people that cannot use their hands because of diseases. [Open the page]

Scientific Machine Learning

We presented an overview on our past Scientific Machine Learning projects that have the goal to create accurate and efficient models of natural phenomena by merging the knowledge coming from the physics-based approaches using differential equations and the data-driven approaches. In particular we showcased the work “Physics-Informed Machine Learning Simulator for Wildfire Propagation” and our contribution to “NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations” [Open the page]

Real Time Scientific Machine Learning

We presented an electronics based on a SoC with GPU acceleration , an FPGA and a large amount of inputs and outputs that allows to run machine learning algorithsm not only “offline” on dataset already saved on the hard drive, but also in real time on data coming from sensors. In this way it is possible to deploy machine learning applications where it is required by the model to trigger decisions with a very low latency (thanks to the FPGA-based neural network inference). In this project the final goal is the realization of adaptive control for dynamical systems that can merge knowledge coming from physics priors and sensor fusion. This project is still “work in progress”! [Open the page]


Brain-Computer Interfaces
Real-time Scientific ML

Scientific Machine Learning

Photo gallery

Our toolbox