Machine Learning Journal Club APS - University of Turin

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Latest News

  • 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 […]
  • Participation in ProjectX-2021 competition
    The MLJC is happy to announce that Università degli Studi di Torino has been invited to participate in Project-X 2021 (, 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 […]
  • 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. […]
  • 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 ( 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. […]
  • 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 (, 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 […]
  • 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: . We would like to thank HPC4AI, Chris Rackauckas, Università degli Studi di Torino, Luca Peyron […]

About us

We are a group of students from the University of Turin and the Polytechnic University of Turin, mostly from a STEM background.

We are passionate about machine learning and artificial intelligence, thus we created a community where to share our geeky ideas and our expertise.

We are actively engaged in research projects with a broad, interdisciplinary focus and participating in hackathons / competitions related to AI.

If you’re interested in taking part in any way in our research projects or learning activities, feel free to drop an email at: info(at)

What we do

The aim of our association is to promote hands-on knowledge of machine learning and artificial intelligence across the academic and civic landscape of Turin.

We believe interdisciplinarity and cross-contamination can be the key to new discoveries and fruitful, engaging ideas.

We try to innovate learning and research paradigms with a focus on self-organization and peer-learning / peer-reviewing, ultimately producing industry-grade science.

In order to promote machine learning literacy we jump-started a wide set of projects, on various premises and online:

  • We took over the University of Turin after-hours, delivering free-for-all courses on Python for machine learning
  • We engaged our more experienced members in open and horizontal research projects on natural language processing, theoretical machine learning and medical machine learning
  • We encouraged and financed the participation of our members to hackathons and competitions
  • We published divulgatory articles on machine learning techniques and hot topics

Our Story

We started our first activities as a little group of students from the M.Sc. in Physics of Complex Systems at the University of Turin.
We were curious about emergent possibilities stemming from Data Mining, Machine Learning and Artificial Intelligence: that’s why we started experimenting with real-world projects and participating in some Kaggle competitions we were passionate about (for example, we took part in the Deep Fake Detection Challenge).

Going forward, we decided to open our group to students from different backgrounds: in order to build some common knowledge, we started organizing extra-curricular lessons and activities, covering Python applied to machine learning (you can find the course material here).

As we meet and engage with new people from all walks of science, our community grows large and diverse: we are proud to count members from computer science, engineering, mathematics, biology, economics and neuropsychology to name a few.

We meet regularly (online or in person), to work and organize projects related to Machine Learning and its applications. You can find more information about our projects here.


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

MLJC is Co-Host of Virtual BR41N.IO Hackathon – Spring School 2021


April 12-21, 2021


+3000 brain enthusiast



The Machine Learning Journal Club is honoured to be Co-Host of the Virtual Br41n Hackathon, organised by g.tec medical engineering in partnership with IEEE Brain.

The event will be held between the 17th and 18th of April 2021, as part of the BCI and Neurotechnology Spring School. MLJC will attend with five teams. We will have the opportunity to present our work and our association in front of an international audience.

All the results will be available open-source on our GitHub.

Brain Hackathon

BR41N.IO is a two days event designed to be a learning experience for developers, students, scientists and engineers who cram and build Brain Computer Interface (BCI) applications.

Spring School

A 10 days learning experince with Neurotechnology experts from all over the world. The members from MLJC are taking part to the Spring School organized by g.tec.

Our winning team

Our Teams

TOP-ECoG Hand Pose

Arianna Di Bernardo
Gabriele Penna
Simone Azeglio
Simone Poetto

Stroke Rehab Motor Imagery

Eleonora Misino
Lorenzo Migliori
Beatrice Villata
Pietro Sillano

P300-speller 1

Aurora Micheli
Flavio Sartori
Ilaria Gesmundo
Luca Bottero

P300-speller 2

Enrico Sansone
Pietro De Luca
Sara Giganti
Tanisha Khan

Syntetic SSVEP

Elios Ghinato
Giacomo D'Amicantonio
Pio Raffaele Fina
Marco Bottino
Vincenzo Triglione

Our teams at work

Our toolbox