AI@INFN - Artificial Intelligence at INFN

Lista contributi

1. Welcome

Alberto Quaranta (Univ. di Trento, INFN TIFPA), Antonio Zoccoli (Univ. di Bologna, INFN), Eugenio Scapparone (INFN BO), Luca Dell'Agnello (INFN CNAF)

02/05/22, 10:45

2. State of the art and challenges in AI

Daniel Remondini (Univ. di Bologna, INFN)

02/05/22, 11:15

Session I

3. Ethical Challenges in AI

Anna Monreale (Univ. di Pisa)

02/05/22, 11:40

Session I

4. Quantum Machine Learning in High Energy Physics

Sofia Vallecorsa (CERN)

02/05/22, 12:05

Session I

5. AI in Italy: Status and Perspectives

Rita Cucchiara (Univ. di Modena e Reggio Emilia)

02/05/22, 12:30

Session I

12. The INFN computing infrastructure and Machine Learning

Davide Salomoni (INFN CNAF)

02/05/22, 14:00

Session II

13. The ML_INFN initiative

Lucio Anderlini (INFN FI)

02/05/22, 14:25

Session II

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)

02/05/22, 14:45

15. Fast inference of deep neural networks in FPGAs

Maurizio Pierini (CERN)

02/05/22, 16:30

Session III

8. Tensor network machine learning

Simone Montangero (Univ. di Padova)

02/05/22, 16:55

Session III

16. Generalization in Quantum Machine Learning: A Quantum Information Standpoint

Leonardo Banchi (Univ. di FI, INFN)

02/05/22, 17:20

Session III

14. AI-oriented initiatives in INFN4LS

Giacinto Donvito (INFN BA)

02/05/22, 17:45

Session III

9. ML in HEP experiments

Andrea Rizzi (Univ. di Pisa, INFN)

03/05/22, 09:00

AI methods and applications in INFN initiatives

17. Gravitational wave science with Machine Learning

Elena Cuoco (EGO & INFN PI)

03/05/22, 09:25

AI methods and applications in INFN initiatives

18. Deep Learning in Medical Image Analysis

Francesca Lizzi (SNS, INFN PI)

03/05/22, 09:50

AI methods and applications in INFN initiatives

19. Using X-ray technologies and deep neural networks for digital restoration of paintings: the CHNet AIRES-CH project

Alessandro Bombini (INFN FI)

03/05/22, 10:10

AI methods and applications in INFN initiatives

20. Learning Likelihoods

Riccardo Torre (INFN GE)

03/05/22, 10:30

AI methods and applications in INFN initiatives

21. Discussion

03/05/22, 10:50

AI methods and applications in INFN initiatives

10. Cognitive and energetic benefits of awake/sleep cycles during incremental learning in spiking neural networks

Pier Stanislao Paolucci (INFN RM1)

03/05/22, 11:30

AI methods and applications in INFN initiatives

22. Explainable and Interpretable AI in multidisciplinary applications

Stefano Giagu (Univ. di Roma Sapienza, INFN)

03/05/22, 11:55

AI methods and applications in INFN initiatives

23. Trustworthy AI in medical applications

Angela Lombardi (Univ. di Bari, INFN)

03/05/22, 12:20

AI methods and applications in INFN initiatives

24. Modeling Nuclear Physics Datasets with novel artificial intelligence approaches

Daniele Dell'Aquila (Univ. di Sassari, INFN LNS)

03/05/22, 12:40

AI methods and applications in INFN initiatives

7. Applications of ML methods to dark matter search

Giovanni Mazzitelli (INFN LNF)

03/05/22, 14:00

AI methods and applications in INFN initiatives

25. AI for autonomous particle accelerator operations

Stefano Pioli (INFN LNF)

03/05/22, 14:25

AI methods and applications in INFN initiatives

26. AI-assisted R&D of advanced experimental systems

Cristiano Fanelli (MIT)

03/05/22, 14:45

AI methods and applications in INFN initiatives

27. APEIRON: a heterogeneous computing platform for real-time inference

Paolo Cretaro (INFN RM1)

03/05/22, 15:05

AI methods and applications in INFN initiatives

28. Final discussion and closing remarks

Alberto Quaranta (Univ. di Trento, INFN TIFPA)

03/05/22, 15:25