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Workshop sul Calcolo nell'INFN: La Biodola, 26 - 30 maggio 2025

May 26 – 30, 2025
Hotel Hermitage - Isola d'Elba
Europe/Rome timezone

Supporto

Session

Intelligenza artificiale

May 29, 2025, 9:00 AM
Sala Maria Luisa (Hotel Hermitage - Isola d'Elba)

Sala Maria Luisa

Hotel Hermitage - Isola d'Elba

La Biodola 57037 Portoferraio (Li) Tel. +39.0565 9740 http://www.hotelhermitage.it/

Conveners

Intelligenza artificiale: Parte 1

  • Tommaso Boccali (Istituto Nazionale di Fisica Nucleare)

Intelligenza artificiale: Parte 2

  • Tommaso Boccali (Istituto Nazionale di Fisica Nucleare)

Description

Per Q&A collegati a logo_pausa-caffe

Presentation materials

There are no materials yet.

  1. 418. Il position paper INFN sull’AI
    Luca Dell'Agnello (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 9:00 AM
    Presentazione orale
  2. 419. L’infrastruttura AI nell’INFN
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 9:15 AM
    Presentazione orale
  3. 321. What’s happening in the EU commission? A gentle introduction to the AI Act
    Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 9:35 AM
    Intelligenza Artificiale
    Presentazione orale

    As the appointed INFN Point of Contact within the European Union (EU) Commission for the development of the General Purpose Artificial Intelligence (GPAI) Code of Practice (CoP) under the landmark AI Act, I propose a concise yet insightful presentation. This talk will delve into the intricacies of the AI Act, a pioneering legislative framework designed to regulate the burgeoning EU Artificial...

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  4. 417. La AI nell'INFN
    Daniele Bonacorsi (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 9:55 AM
    Presentazione orale
  5. 420. Tavola rotonda
    Alessandra Retico (Istituto Nazionale di Fisica Nucleare), Enrico Pasqualucci (Istituto Nazionale di Fisica Nucleare), Francesca Lizzi (Istituto Nazionale di Fisica Nucleare), Luca Dell'Agnello (Istituto Nazionale di Fisica Nucleare), Lucio Anderlini (Istituto Nazionale di Fisica Nucleare), Tommaso Boccali (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 10:20 AM
  6. 323. Exploring Novel Neuromorphic Computing Architectures with a Multi-Node FPGA System
    Pierpaolo Perticaroli (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 11:30 AM
    Intelligenza Artificiale
    Presentazione orale

    Brain-inspired Spiking Neural Networks represent a promising frontier in computational models, offering potential advantages over traditional computing paradigms in terms of energy efficiency, temporal information processing, and adaptability to dynamic data. This can benefit numerous applications, such as real-time signal processing and pattern recognition in resource-constrained...

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  7. 324. Generative AI enhances conventional fluorescence microscopy towards super-resolution capabilities
    Simone Lossano (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 11:45 AM
    Intelligenza Artificiale
    Presentazione orale

    In recent years, Super-Resolution Microscopy (SRM) techniques have pushed the resolution of fluorescence microscopy down to the nanoscale, enabling the observation of in vivo cellular processes. Some of these techniques, such as Stochastic Optical Reconstruction Microscopy (STORM), achieve resolutions below 20 nm. However, they are less suitable for live imaging due to acquisition times of up...

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  8. 330. Advanced Tracking Analysis in Space Experiments with Graph Neural Networks
    Dr Federica Cuna (Istituto Nazionale di Fisica Nucleare- Sezione di Bari)
    5/29/25, 12:00 PM
    Intelligenza Artificiale
    Presentazione orale

    The integration of advanced artificial intelligence techniques into astroparticle experiments marks a transformative step in data analysis and experimental design. As space missions grow increasingly complex, the adoption of AI technologies becomes critical to optimizing performance and achieving robust scientific outcomes.
    This study focuses on the development of innovative AI-driven...

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  9. 336. INFN Cloud Kubeflow as a Platform (KaaP) and a ChatBot use case
    Mauro Gattari (Istituto Nazionale di Fisica Nucleare)
    5/29/25, 12:15 PM
    Intelligenza Artificiale
    Presentazione orale

    Kubeflow is an open-source Machine Learning (ML) platform built on Kubernetes providing a comprehensive set of tools to manage every step of the ML lifecycle.

    With Kubeflow, you can design, build, deploy and maintain an ML solution, therefore managing the end-to-end ML lifecycle.

    INFN Cloud offers a "Kubernetes Cluster" PaaS service, we aim to enrich this service with an additional...

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