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AI@INFN - Artificial Intelligence at INFN

2–3 May 2022
Hotel Europa
Europe/Rome timezone
Workshop organized by INFN Scientific Committee 5

Contribution List

27 / 27
1. Welcome
Alberto Quaranta (Univ. di Trento, INFN TIFPA), Antonio Zoccoli (Univ. di Bologna, INFN), Eugenio Scapparone (INFN BO), Luca Dell'Agnello (INFN CNAF)
02/05/2022, 10:45
2. State of the art and challenges in AI
Daniel Remondini (Univ. di Bologna, INFN)
02/05/2022, 11:15
3. Ethical Challenges in AI
Anna Monreale (Univ. di Pisa)
02/05/2022, 11:40
4. Quantum Machine Learning in High Energy Physics
Sofia Vallecorsa (CERN)
02/05/2022, 12:05
5. AI in Italy: Status and Perspectives
Rita Cucchiara (Univ. di Modena e Reggio Emilia)
02/05/2022, 12:30
12. The INFN computing infrastructure and Machine Learning
Davide Salomoni (INFN CNAF)
02/05/2022, 14:00
13. The ML_INFN initiative
Lucio Anderlini (INFN FI)
02/05/2022, 14:25
11. INFN Perspectives on AI and Computing
Alberto Quaranta (Univ. di Trento, INFN TIFPA), Cinzia Talamonti (Univ. di Firenze, INFN), Daniele Bonacorsi (Univ. di BO, INFN), Diego Bettoni (INFN FE), Giacomo Cuttone (INFN LNS), Gianpaolo Carlino (INFN NA), Marco Ciuchini (INFN RM3), Pierluigi Campana (INFN LNF), Roberto Bellotti (Univ. di Bari & INFN)
02/05/2022, 14:45
15. Fast inference of deep neural networks in FPGAs
Maurizio Pierini (CERN)
02/05/2022, 16:30
8. Tensor network machine learning
Simone Montangero (Univ. di Padova)
02/05/2022, 16:55
16. Generalization in Quantum Machine Learning: A Quantum Information Standpoint
Leonardo Banchi (Univ. di FI, INFN)
02/05/2022, 17:20
14. AI-oriented initiatives in INFN4LS
Giacinto Donvito (INFN BA)
02/05/2022, 17:45
9. ML in HEP experiments
Andrea Rizzi (Univ. di Pisa, INFN)
03/05/2022, 09:00
17. Gravitational wave science with Machine Learning
Elena Cuoco (EGO & INFN PI)
03/05/2022, 09:25
18. Deep Learning in Medical Image Analysis
Francesca Lizzi (SNS, INFN PI)
03/05/2022, 09:50
19. Using X-ray technologies and deep neural networks for digital restoration of paintings: the CHNet AIRES-CH project
Alessandro Bombini (INFN FI)
03/05/2022, 10:10
20. Learning Likelihoods
Riccardo Torre (INFN GE)
03/05/2022, 10:30
21. Discussion
03/05/2022, 10:50
10. Cognitive and energetic benefits of awake/sleep cycles during incremental learning in spiking neural networks
Pier Stanislao Paolucci (INFN RM1)
03/05/2022, 11:30
22. Explainable and Interpretable AI in multidisciplinary applications
Stefano Giagu (Univ. di Roma Sapienza, INFN)
03/05/2022, 11:55
23. Trustworthy AI in medical applications
Angela Lombardi (Univ. di Bari, INFN)
03/05/2022, 12:20
24. Modeling Nuclear Physics Datasets with novel artificial intelligence approaches
Daniele Dell'Aquila (Univ. di Sassari, INFN LNS)
03/05/2022, 12:40
7. Applications of ML methods to dark matter search
Giovanni Mazzitelli (INFN LNF)
03/05/2022, 14:00
25. AI for autonomous particle accelerator operations
Stefano Pioli (INFN LNF)
03/05/2022, 14:25
26. AI-assisted R&D of advanced experimental systems
Cristiano Fanelli (MIT)
03/05/2022, 14:45
27. APEIRON: a heterogeneous computing platform for real-time inference
Paolo Cretaro (INFN RM1)
03/05/2022, 15:05
28. Final discussion and closing remarks
Alberto Quaranta (Univ. di Trento, INFN TIFPA)
03/05/2022, 15:25
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