Alan Perotti, ISI Foundation - Turin

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Event date: 26/09/2019

Friday, September 27th - h 2:00 p.m.
Seminars Room, NICO
Neuroscience Institute Cavalieri Ottolenghi
Regione Gonzole 10, Orbassano (TO)

Alan Perotti
Researcher at the Institute for Scientific Interchange (ISI Foundation), Turin

Solutions and a problem

The data-driven learning paradigm has replaced rule-based reasoning as the de-facto modern approach to artificial intelligence, thanks to new algorithms and the unprecedented availability of data and computing power.

Amongst the variety of real-life applications, computer vision is arguably the domain that was impacted the most. Deep convolutional neural networks nowadays allow to automate a number of vision based tasks in a way that was unthinkable a few years ago.

However, there is a trade-off between model complexity and its explainability, and deep learning falls on the former end of the spectrum. We are now able to train accurate models that are intrinsically unable to provide a human-understandable explanation of their internal decision processes. The field of explainable Artificial Intelligence tries to peek into the black-box of modern artificial intelligence. Machine learning projects on urban, healthcare, energy, finance, and satellite data.

Host: Annalisa Buffo

Events & Meetings

14 february 2020

NICO Progress Report

Our young researchers present their work to collegues. From January to December, every two weeks, on friday at 2:00 pm
Seminars Room, NICO

27 february 2020


University of Turin, Italy   
The Workshop is aimed at PhD students and young Postdocs with the goal to promote a thorough understanding of the functions of glial cells in health and disease. The program includes lectures on the newest conceptual advancements and methodological approaches in the study of glial cells in synaptic functions, development and CNS diseases.