{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:30:00Z","timestamp":1743006600874,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819991181"},{"type":"electronic","value":"9789819991198"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-9119-8_48","type":"book-chapter","created":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T13:03:04Z","timestamp":1706878984000},"page":"532-538","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Updates and Experiences of VenusAI Platform"],"prefix":"10.1007","author":[{"given":"Meng","family":"Wan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongqiang","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoguang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongguo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,3]]},"reference":[{"issue":"1","key":"48_CR1","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/s10143-023-01998-2","volume":"46","author":"UT Sevgi","year":"2023","unstructured":"Sevgi, U.T., Erol, G., Do\u011fruel, Y., et al.: The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study. Neurosurg. Rev. 46(1), 86 (2023)","journal-title":"Neurosurg. Rev."},{"key":"48_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102550","volume":"128","author":"T Yao","year":"2022","unstructured":"Yao, T., Wang, J., Wan, M., et al.: VenusAI: an artificial intelligence platform for scientific discovery on supercomputers. J. Syst. Architect. 128, 102550 (2022)","journal-title":"J. Syst. Architect."},{"key":"48_CR3","doi-asserted-by":"publisher","unstructured":"Wan, M., Cao, R., Wang, Y., et al.: OpenVenus: an open service interface for HPC environment based on SLURM. In: International Conference on Smart Computing and Communication, pp. 131\u2013141. Springer Nature Switzerland, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-28124-2_13","DOI":"10.1007\/978-3-031-28124-2_13"},{"key":"48_CR4","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-1-4842-4470-8_7","volume-title":"Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners","author":"E Bisong","year":"2019","unstructured":"Bisong, E.: Google colaboratory. In: Bisong, E. (ed.) Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners, pp. 59\u201364. Apress, Berkeley, CA (2019). https:\/\/doi.org\/10.1007\/978-1-4842-4470-8_7"},{"issue":"4","key":"48_CR5","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/MSPEC.2019.8678513","volume":"56","author":"E Strickland","year":"2019","unstructured":"Strickland, E.: IBM Watson, heal thyself: How IBM overpromised and underdelivered on AI health care. IEEE Spectr. 56(4), 24\u201331 (2019)","journal-title":"IEEE Spectr."},{"key":"48_CR6","unstructured":"Tao, Y., Zhang, Y., Cui, C., et al.: Automated spectral classification of galaxies using machine learning approach on Alibaba cloud AI platform (PAI). arXiv preprint arXiv:1801.04839 (2018)"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Liao, W., Xie, L., Xi, J., et al.: Intelligent parking lot control system based on Alibaba Cloud platform and machine learning. In: 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 908\u2013911. IEEE (2021)","DOI":"10.1109\/ICSP51882.2021.9408936"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Jeffery, A., Howard, H., Mortier, R.: Rearchitecting kubernetes for the edge. In: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking, pp. 7\u201312 (2021)","DOI":"10.1145\/3434770.3459730"},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"Canesche, M., Bragan\u00e7a, L., Neto, O.P.V., et al.: Google Colab CAD4U: hands-on cloud laboratories for digital design. In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20135. IEEE (2021)","DOI":"10.1109\/ISCAS51556.2021.9401151"},{"issue":"2","key":"48_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.17496\/KMER.2016.18.2.51","volume":"18","author":"KY Lee","year":"2016","unstructured":"Lee, K.Y., Kim, J.: Artificial intelligence technology trends and IBM Watson references in the medical field. Korean Med. Educ. Rev. 18(2), 51\u201357 (2016)","journal-title":"Korean Med. Educ. Rev."},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Both D Both D Files, Directories, and Links. Using and Administering Linux: Volume 1: Zero to SysAdmin: Getting Started, pp. 513\u2013547 (2020)","DOI":"10.1007\/978-1-4842-5049-5_18"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Kumar, M.: HPC\/AI Deep dive training experiences with containers and JupyterLab. In: 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), pp. 1\u20135. IEEE (2022)","DOI":"10.1109\/ICKECS56523.2022.10060302"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Ta\u015f, R., Tanr\u0131\u00f6ver, \u00d6.\u00d6.: Building a decentralized application on the ethereum blockchain. In: 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1\u20134. IEEE (2019)","DOI":"10.1109\/ISMSIT.2019.8932806"},{"key":"48_CR14","first-page":"3799","volume":"46","author":"T Ragunthar","year":"2021","unstructured":"Ragunthar, T., Ashok, P., Gopinath, N., et al.: A strong reinforcement parallel implementation of k-means algorithm using message passing interface. Mater. Today: Proc. 46, 3799\u20133802 (2021)","journal-title":"Mater. Today: Proc."},{"key":"48_CR15","doi-asserted-by":"crossref","unstructured":"Chadha, M., John, J., Gerndt, M.: Extending SLURM for dynamic resource-aware adaptive batch scheduling. In: 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC), pp. 223\u2013232. IEEE (2020)","DOI":"10.1109\/HiPC50609.2020.00036"},{"issue":"1","key":"48_CR16","first-page":"412","volume":"23","author":"N Jinliang","year":"2019","unstructured":"Jinliang, N.: Cifar10 image classification based on ResNet. C\u0438c\u0442e\u043c\u043d\u044b\u0439 a\u043da\u043b\u0438\u0437 \u0432 \u043fpoe\u043a\u0442\u0438po\u0432a\u043d\u0438\u0438 \u0438 y\u043fpa\u0432\u043be\u043d\u0438\u0438 23(1), 412\u2013415 (2019)","journal-title":"C\u0438c\u0442e\u043c\u043d\u044b\u0439 a\u043da\u043b\u0438\u0437 \u0432 \u043fpoe\u043a\u0442\u0438po\u0432a\u043d\u0438\u0438 \u0438 y\u043fpa\u0432\u043be\u043d\u0438\u0438"},{"key":"48_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2023.103830","volume":"93","author":"K Tong","year":"2023","unstructured":"Tong, K., Wu, Y.: Rethinking PASCAL-VOC and MS-COCO dataset for small object detection. J. Vis. Commun. Image Represent. 93, 103830 (2023)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"48_CR18","unstructured":"Beyer, L., H\u00e9naff, O.J., Kolesnikov, A., et al.: Are we done with imagenet?. arXiv preprint arXiv:2006.07159 (2020)"},{"key":"48_CR19","unstructured":"Vadillo, J., Santana, R.: Universal adversarial examples in speech command classification. arXiv preprint arXiv:1911.10182 (2019)"},{"key":"48_CR20","doi-asserted-by":"crossref","unstructured":"Chen, M., Peng, H., Fu, J., et al.: AutoFormer: searching transformers for visual recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12270\u201312280 (2021)","DOI":"10.1109\/ICCV48922.2021.01205"},{"issue":"12","key":"48_CR21","doi-asserted-by":"publisher","first-page":"11106","DOI":"10.1609\/aaai.v35i12.17325","volume":"35","author":"H Zhou","year":"2021","unstructured":"Zhou, H., et al.: Informer: beyond efficient transformer for long sequence time-series forecasting. Proc. AAAI Conf. Artif. Intell. 35(12), 11106\u201311115 (2021). https:\/\/doi.org\/10.1609\/aaai.v35i12.17325","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"48_CR22","unstructured":"Touvron, H., Lavril, T., Izacard, G., et al.: LLaMA: open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-9119-8_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T13:12:38Z","timestamp":1706879558000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-9119-8_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819991181","9789819991198"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-9119-8_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CAAI International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fuzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cicai.caai.cn\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"376","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}