Artificial Intelligence for the Electron Ion Collider (AI4EIC)
Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead...
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| Autor*in: |
Allaire, C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: Computing and software for big science - Cham, Switzerland : Springer International Publishing, 2017, 8(2024), 1 vom: 15. Feb. |
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| Übergeordnetes Werk: |
volume:8 ; year:2024 ; number:1 ; day:15 ; month:02 |
| Links: |
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| DOI / URN: |
10.1007/s41781-024-00113-4 |
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| Katalog-ID: |
SPR054791243 |
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| 520 | |a Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. | ||
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10.1007/s41781-024-00113-4 doi (DE-627)SPR054791243 (SPR)s41781-024-00113-4-e DE-627 ger DE-627 rakwb eng Allaire, C. verfasserin aut Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 Ammendola, R. aut Aschenauer, E.-C. aut Balandat, M. aut Battaglieri, M. aut Bernauer, J. aut Bondì, M. aut Branson, N. aut Britton, T. aut Butter, A. aut Chahrour, I. aut Chatagnon, P. aut Cisbani, E. aut Cline, E. W. aut Dash, S. aut Dean, C. aut Deconinck, W. aut Deshpande, A. aut Diefenthaler, M. aut Ent, R. aut Fanelli, C. aut Finger, M. aut Finger, M. aut Fol, E. aut Furletov, S. aut Gao, Y. aut Giroux, J. aut Waduge, N. C. Gunawardhana aut Hassan, O. aut Hegde, P. L. aut Hernández-Pinto, R. J. aut Blin, A. Hiller aut Horn, T. aut Huang, J. aut Jalotra, A. aut Jayakodige, D. aut Joo, B. aut Junaid, M. aut Kalantarians, N. aut Karande, P. aut Kriesten, B. aut Elayavalli, R. Kunnawalkam aut Li, Y. aut Lin, M. aut Liu, F. aut Liuti, S. aut Matousek, G. aut McEneaney, M. aut McSpadden, D. aut Menzo, T. aut Miceli, T. aut Mikuni, V. aut Montgomery, R. aut Nachman, B. aut Nair, R. R. aut Niestroy, J. aut Oregon, S. A. Ochoa aut Oleniacz, J. aut Osborn, J. D. aut Paudel, C. aut Pecar, C. aut Peng, C. aut Perdue, G. N. aut Phelps, W. aut Purschke, M. L. aut Rajendran, H. aut Rajput, K. aut Ren, Y. aut Renteria-Estrada, D. F. aut Richford, D. aut Roy, B. J. aut Roy, D. aut Saini, A. aut Sato, N. aut Satogata, T. aut Sborlini, G. aut Schram, M. aut Shih, D. aut Singh, J. aut Singh, R. aut Siodmok, A. aut Stevens, J. aut Stone, P. aut Suarez, L. aut Suresh, K. aut Tawfik, A.-N. aut Acosta, F. Torales aut Tran, N. aut Trotta, R. aut Twagirayezu, F. J. aut Tyson, R. aut Volkova, S. aut Vossen, A. aut Walter, E. aut Whiteson, D. aut Williams, M. aut Wu, S. aut Zachariou, N. aut Zurita, P. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 8(2024), 1 vom: 15. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:8 year:2024 number:1 day:15 month:02 https://dx.doi.org/10.1007/s41781-024-00113-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2024 1 15 02 |
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10.1007/s41781-024-00113-4 doi (DE-627)SPR054791243 (SPR)s41781-024-00113-4-e DE-627 ger DE-627 rakwb eng Allaire, C. verfasserin aut Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 Ammendola, R. aut Aschenauer, E.-C. aut Balandat, M. aut Battaglieri, M. aut Bernauer, J. aut Bondì, M. aut Branson, N. aut Britton, T. aut Butter, A. aut Chahrour, I. aut Chatagnon, P. aut Cisbani, E. aut Cline, E. W. aut Dash, S. aut Dean, C. aut Deconinck, W. aut Deshpande, A. aut Diefenthaler, M. aut Ent, R. aut Fanelli, C. aut Finger, M. aut Finger, M. aut Fol, E. aut Furletov, S. aut Gao, Y. aut Giroux, J. aut Waduge, N. C. Gunawardhana aut Hassan, O. aut Hegde, P. L. aut Hernández-Pinto, R. J. aut Blin, A. Hiller aut Horn, T. aut Huang, J. aut Jalotra, A. aut Jayakodige, D. aut Joo, B. aut Junaid, M. aut Kalantarians, N. aut Karande, P. aut Kriesten, B. aut Elayavalli, R. Kunnawalkam aut Li, Y. aut Lin, M. aut Liu, F. aut Liuti, S. aut Matousek, G. aut McEneaney, M. aut McSpadden, D. aut Menzo, T. aut Miceli, T. aut Mikuni, V. aut Montgomery, R. aut Nachman, B. aut Nair, R. R. aut Niestroy, J. aut Oregon, S. A. Ochoa aut Oleniacz, J. aut Osborn, J. D. aut Paudel, C. aut Pecar, C. aut Peng, C. aut Perdue, G. N. aut Phelps, W. aut Purschke, M. L. aut Rajendran, H. aut Rajput, K. aut Ren, Y. aut Renteria-Estrada, D. F. aut Richford, D. aut Roy, B. J. aut Roy, D. aut Saini, A. aut Sato, N. aut Satogata, T. aut Sborlini, G. aut Schram, M. aut Shih, D. aut Singh, J. aut Singh, R. aut Siodmok, A. aut Stevens, J. aut Stone, P. aut Suarez, L. aut Suresh, K. aut Tawfik, A.-N. aut Acosta, F. Torales aut Tran, N. aut Trotta, R. aut Twagirayezu, F. J. aut Tyson, R. aut Volkova, S. aut Vossen, A. aut Walter, E. aut Whiteson, D. aut Williams, M. aut Wu, S. aut Zachariou, N. aut Zurita, P. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 8(2024), 1 vom: 15. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:8 year:2024 number:1 day:15 month:02 https://dx.doi.org/10.1007/s41781-024-00113-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2024 1 15 02 |
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10.1007/s41781-024-00113-4 doi (DE-627)SPR054791243 (SPR)s41781-024-00113-4-e DE-627 ger DE-627 rakwb eng Allaire, C. verfasserin aut Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 Ammendola, R. aut Aschenauer, E.-C. aut Balandat, M. aut Battaglieri, M. aut Bernauer, J. aut Bondì, M. aut Branson, N. aut Britton, T. aut Butter, A. aut Chahrour, I. aut Chatagnon, P. aut Cisbani, E. aut Cline, E. W. aut Dash, S. aut Dean, C. aut Deconinck, W. aut Deshpande, A. aut Diefenthaler, M. aut Ent, R. aut Fanelli, C. aut Finger, M. aut Finger, M. aut Fol, E. aut Furletov, S. aut Gao, Y. aut Giroux, J. aut Waduge, N. C. Gunawardhana aut Hassan, O. aut Hegde, P. L. aut Hernández-Pinto, R. J. aut Blin, A. Hiller aut Horn, T. aut Huang, J. aut Jalotra, A. aut Jayakodige, D. aut Joo, B. aut Junaid, M. aut Kalantarians, N. aut Karande, P. aut Kriesten, B. aut Elayavalli, R. Kunnawalkam aut Li, Y. aut Lin, M. aut Liu, F. aut Liuti, S. aut Matousek, G. aut McEneaney, M. aut McSpadden, D. aut Menzo, T. aut Miceli, T. aut Mikuni, V. aut Montgomery, R. aut Nachman, B. aut Nair, R. R. aut Niestroy, J. aut Oregon, S. A. Ochoa aut Oleniacz, J. aut Osborn, J. D. aut Paudel, C. aut Pecar, C. aut Peng, C. aut Perdue, G. N. aut Phelps, W. aut Purschke, M. L. aut Rajendran, H. aut Rajput, K. aut Ren, Y. aut Renteria-Estrada, D. F. aut Richford, D. aut Roy, B. J. aut Roy, D. aut Saini, A. aut Sato, N. aut Satogata, T. aut Sborlini, G. aut Schram, M. aut Shih, D. aut Singh, J. aut Singh, R. aut Siodmok, A. aut Stevens, J. aut Stone, P. aut Suarez, L. aut Suresh, K. aut Tawfik, A.-N. aut Acosta, F. Torales aut Tran, N. aut Trotta, R. aut Twagirayezu, F. J. aut Tyson, R. aut Volkova, S. aut Vossen, A. aut Walter, E. aut Whiteson, D. aut Williams, M. aut Wu, S. aut Zachariou, N. aut Zurita, P. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 8(2024), 1 vom: 15. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:8 year:2024 number:1 day:15 month:02 https://dx.doi.org/10.1007/s41781-024-00113-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2024 1 15 02 |
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10.1007/s41781-024-00113-4 doi (DE-627)SPR054791243 (SPR)s41781-024-00113-4-e DE-627 ger DE-627 rakwb eng Allaire, C. verfasserin aut Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 Ammendola, R. aut Aschenauer, E.-C. aut Balandat, M. aut Battaglieri, M. aut Bernauer, J. aut Bondì, M. aut Branson, N. aut Britton, T. aut Butter, A. aut Chahrour, I. aut Chatagnon, P. aut Cisbani, E. aut Cline, E. W. aut Dash, S. aut Dean, C. aut Deconinck, W. aut Deshpande, A. aut Diefenthaler, M. aut Ent, R. aut Fanelli, C. aut Finger, M. aut Finger, M. aut Fol, E. aut Furletov, S. aut Gao, Y. aut Giroux, J. aut Waduge, N. C. Gunawardhana aut Hassan, O. aut Hegde, P. L. aut Hernández-Pinto, R. J. aut Blin, A. Hiller aut Horn, T. aut Huang, J. aut Jalotra, A. aut Jayakodige, D. aut Joo, B. aut Junaid, M. aut Kalantarians, N. aut Karande, P. aut Kriesten, B. aut Elayavalli, R. Kunnawalkam aut Li, Y. aut Lin, M. aut Liu, F. aut Liuti, S. aut Matousek, G. aut McEneaney, M. aut McSpadden, D. aut Menzo, T. aut Miceli, T. aut Mikuni, V. aut Montgomery, R. aut Nachman, B. aut Nair, R. R. aut Niestroy, J. aut Oregon, S. A. Ochoa aut Oleniacz, J. aut Osborn, J. D. aut Paudel, C. aut Pecar, C. aut Peng, C. aut Perdue, G. N. aut Phelps, W. aut Purschke, M. L. aut Rajendran, H. aut Rajput, K. aut Ren, Y. aut Renteria-Estrada, D. F. aut Richford, D. aut Roy, B. J. aut Roy, D. aut Saini, A. aut Sato, N. aut Satogata, T. aut Sborlini, G. aut Schram, M. aut Shih, D. aut Singh, J. aut Singh, R. aut Siodmok, A. aut Stevens, J. aut Stone, P. aut Suarez, L. aut Suresh, K. aut Tawfik, A.-N. aut Acosta, F. Torales aut Tran, N. aut Trotta, R. aut Twagirayezu, F. J. aut Tyson, R. aut Volkova, S. aut Vossen, A. aut Walter, E. aut Whiteson, D. aut Williams, M. aut Wu, S. aut Zachariou, N. aut Zurita, P. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 8(2024), 1 vom: 15. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:8 year:2024 number:1 day:15 month:02 https://dx.doi.org/10.1007/s41781-024-00113-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2024 1 15 02 |
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10.1007/s41781-024-00113-4 doi (DE-627)SPR054791243 (SPR)s41781-024-00113-4-e DE-627 ger DE-627 rakwb eng Allaire, C. verfasserin aut Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 Ammendola, R. aut Aschenauer, E.-C. aut Balandat, M. aut Battaglieri, M. aut Bernauer, J. aut Bondì, M. aut Branson, N. aut Britton, T. aut Butter, A. aut Chahrour, I. aut Chatagnon, P. aut Cisbani, E. aut Cline, E. W. aut Dash, S. aut Dean, C. aut Deconinck, W. aut Deshpande, A. aut Diefenthaler, M. aut Ent, R. aut Fanelli, C. aut Finger, M. aut Finger, M. aut Fol, E. aut Furletov, S. aut Gao, Y. aut Giroux, J. aut Waduge, N. C. Gunawardhana aut Hassan, O. aut Hegde, P. L. aut Hernández-Pinto, R. J. aut Blin, A. Hiller aut Horn, T. aut Huang, J. aut Jalotra, A. aut Jayakodige, D. aut Joo, B. aut Junaid, M. aut Kalantarians, N. aut Karande, P. aut Kriesten, B. aut Elayavalli, R. Kunnawalkam aut Li, Y. aut Lin, M. aut Liu, F. aut Liuti, S. aut Matousek, G. aut McEneaney, M. aut McSpadden, D. aut Menzo, T. aut Miceli, T. aut Mikuni, V. aut Montgomery, R. aut Nachman, B. aut Nair, R. R. aut Niestroy, J. aut Oregon, S. A. Ochoa aut Oleniacz, J. aut Osborn, J. D. aut Paudel, C. aut Pecar, C. aut Peng, C. aut Perdue, G. N. aut Phelps, W. aut Purschke, M. L. aut Rajendran, H. aut Rajput, K. aut Ren, Y. aut Renteria-Estrada, D. F. aut Richford, D. aut Roy, B. J. aut Roy, D. aut Saini, A. aut Sato, N. aut Satogata, T. aut Sborlini, G. aut Schram, M. aut Shih, D. aut Singh, J. aut Singh, R. aut Siodmok, A. aut Stevens, J. aut Stone, P. aut Suarez, L. aut Suresh, K. aut Tawfik, A.-N. aut Acosta, F. Torales aut Tran, N. aut Trotta, R. aut Twagirayezu, F. J. aut Tyson, R. aut Volkova, S. aut Vossen, A. aut Walter, E. aut Whiteson, D. aut Williams, M. aut Wu, S. aut Zachariou, N. aut Zurita, P. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 8(2024), 1 vom: 15. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:8 year:2024 number:1 day:15 month:02 https://dx.doi.org/10.1007/s41781-024-00113-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2024 1 15 02 |
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Allaire, C. @@aut@@ Ammendola, R. @@aut@@ Aschenauer, E.-C. @@aut@@ Balandat, M. @@aut@@ Battaglieri, M. @@aut@@ Bernauer, J. @@aut@@ Bondì, M. @@aut@@ Branson, N. @@aut@@ Britton, T. @@aut@@ Butter, A. @@aut@@ Chahrour, I. @@aut@@ Chatagnon, P. @@aut@@ Cisbani, E. @@aut@@ Cline, E. W. @@aut@@ Dash, S. @@aut@@ Dean, C. @@aut@@ Deconinck, W. @@aut@@ Deshpande, A. @@aut@@ Diefenthaler, M. @@aut@@ Ent, R. @@aut@@ Fanelli, C. @@aut@@ Finger, M. @@aut@@ Fol, E. @@aut@@ Furletov, S. @@aut@@ Gao, Y. @@aut@@ Giroux, J. @@aut@@ Waduge, N. C. Gunawardhana @@aut@@ Hassan, O. @@aut@@ Hegde, P. L. @@aut@@ Hernández-Pinto, R. J. @@aut@@ Blin, A. Hiller @@aut@@ Horn, T. @@aut@@ Huang, J. @@aut@@ Jalotra, A. @@aut@@ Jayakodige, D. @@aut@@ Joo, B. @@aut@@ Junaid, M. @@aut@@ Kalantarians, N. @@aut@@ Karande, P. @@aut@@ Kriesten, B. @@aut@@ Elayavalli, R. Kunnawalkam @@aut@@ Li, Y. @@aut@@ Lin, M. @@aut@@ Liu, F. @@aut@@ Liuti, S. @@aut@@ Matousek, G. @@aut@@ McEneaney, M. @@aut@@ McSpadden, D. @@aut@@ Menzo, T. @@aut@@ Miceli, T. @@aut@@ Mikuni, V. @@aut@@ Montgomery, R. @@aut@@ Nachman, B. @@aut@@ Nair, R. R. @@aut@@ Niestroy, J. @@aut@@ Oregon, S. A. Ochoa @@aut@@ Oleniacz, J. @@aut@@ Osborn, J. D. @@aut@@ Paudel, C. @@aut@@ Pecar, C. @@aut@@ Peng, C. @@aut@@ Perdue, G. N. @@aut@@ Phelps, W. @@aut@@ Purschke, M. L. @@aut@@ Rajendran, H. @@aut@@ Rajput, K. @@aut@@ Ren, Y. @@aut@@ Renteria-Estrada, D. F. @@aut@@ Richford, D. @@aut@@ Roy, B. J. @@aut@@ Roy, D. @@aut@@ Saini, A. @@aut@@ Sato, N. @@aut@@ Satogata, T. @@aut@@ Sborlini, G. @@aut@@ Schram, M. @@aut@@ Shih, D. @@aut@@ Singh, J. @@aut@@ Singh, R. @@aut@@ Siodmok, A. @@aut@@ Stevens, J. @@aut@@ Stone, P. @@aut@@ Suarez, L. @@aut@@ Suresh, K. @@aut@@ Tawfik, A.-N. @@aut@@ Acosta, F. Torales @@aut@@ Tran, N. @@aut@@ Trotta, R. @@aut@@ Twagirayezu, F. J. @@aut@@ Tyson, R. @@aut@@ Volkova, S. @@aut@@ Vossen, A. @@aut@@ Walter, E. @@aut@@ Whiteson, D. @@aut@@ Williams, M. @@aut@@ Wu, S. @@aut@@ Zachariou, N. @@aut@@ Zurita, P. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR054791243</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240216064740.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240216s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s41781-024-00113-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR054791243</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s41781-024-00113-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Allaire, C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence for the Electron Ion Collider (AI4EIC)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2024</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. 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| author |
Allaire, C. |
| spellingShingle |
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Artificial Intelligence for the Electron Ion Collider (AI4EIC) Artificial Intelligence (dpeaa)DE-He213 Deep learning (dpeaa)DE-He213 EIC (dpeaa)DE-He213 ePIC (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 QCD (dpeaa)DE-He213 Physics (dpeaa)DE-He213 |
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Allaire, C. Ammendola, R. Aschenauer, E.-C. Balandat, M. Battaglieri, M. Bernauer, J. Bondì, M. Branson, N. Britton, T. Butter, A. Chahrour, I. Chatagnon, P. Cisbani, E. Cline, E. W. Dash, S. Dean, C. Deconinck, W. Deshpande, A. Diefenthaler, M. Ent, R. Fanelli, C. Finger, M. Fol, E. Furletov, S. Gao, Y. Giroux, J. Waduge, N. C. Gunawardhana Hassan, O. Hegde, P. L. Hernández-Pinto, R. J. Blin, A. Hiller Horn, T. Huang, J. Jalotra, A. Jayakodige, D. Joo, B. Junaid, M. Kalantarians, N. Karande, P. Kriesten, B. Elayavalli, R. Kunnawalkam Li, Y. Lin, M. Liu, F. Liuti, S. Matousek, G. McEneaney, M. McSpadden, D. Menzo, T. Miceli, T. Mikuni, V. Montgomery, R. Nachman, B. Nair, R. R. Niestroy, J. Oregon, S. A. Ochoa Oleniacz, J. Osborn, J. D. Paudel, C. Pecar, C. Peng, C. Perdue, G. N. Phelps, W. Purschke, M. L. Rajendran, H. Rajput, K. Ren, Y. Renteria-Estrada, D. F. Richford, D. Roy, B. J. Roy, D. Saini, A. Sato, N. Satogata, T. Sborlini, G. Schram, M. Shih, D. Singh, J. Singh, R. Siodmok, A. Stevens, J. Stone, P. Suarez, L. Suresh, K. Tawfik, A.-N. Acosta, F. Torales Tran, N. Trotta, R. Twagirayezu, F. J. Tyson, R. Volkova, S. Vossen, A. Walter, E. Whiteson, D. Williams, M. Wu, S. Zachariou, N. Zurita, P. |
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artificial intelligence for the electron ion collider (ai4eic) |
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Artificial Intelligence for the Electron Ion Collider (AI4EIC) |
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Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. © The Author(s) 2024 |
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Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. © The Author(s) 2024 |
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Abstract The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. © The Author(s) 2024 |
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