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7月11日 - 2026年7月11日

排名: B (CORE2023)Offline

Pacific Rim International Conference on Artificial Intelligence

更新于:26 days ago
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Guangzhou, ChinaNo publisher

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概览

PRICAI is an annual event showcasing original and innovative AI work and its applications in areas relevant to the Pacific Rim's socioeconomic challenges. PRICAI offers a vibrant forum for academics, practitioners, and educators to promote AI and its societal impact. The 23rd Pacific Rim International Conference on Artificial Intelligence (PRICAI 2026) will be held at South China Normal University, Guangzhou, China. Paper Submission: Proceedings of PRICAI 2026 will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series. Papers should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. Submitted papers should adhere to the following page limits (including references): long papers 12-16 pages; short papers 6-11 pages. Submissions must not be published or under consideration to be published elsewhere. Topics of Interest: The areas of interest include, but are not limited to: AI Foundations & Theory (Reasoning, Planning & Scheduling, Decision Theory, Game Theory), Machine Learning & Models (Neural Networks & Deep Learning, Bayesian/Markov Networks, Evolutionary Computation, Generative AI, Large Language Models, Foundational Models), Natural Language & Multimodal (Natural Language Processing, Speech & Dialogue Systems, Text/Web Mining, Multimodal Interaction), Vision & Perception (Computer Vision, Cognitive Systems, Multimedia & Arts), Intelligent Systems & Applications (Agents, Robotics, Internet of Things, Bioinformatics, Education & Tutoring Systems, Social Intelligence), Data & Knowledge (Big Data Analytics, Data Mining & Knowledge Discovery, Knowledge Representation, Semantic Web, Ontology & Knowledge Management), Responsible AI (AI Regulations & Ethics, Trustworthy AI, Fairness & Social Choice, Explainable AI).

论文征集

PRICAI is an annual event showcasing original and innovative AI work and its applications in areas relevant to the Pacific Rim's socioeconomic challenges. PRICAI offers a vibrant forum for academics, practitioners, and educators to promote AI and its societal impact. The 23rd Pacific Rim International Conference on Artificial Intelligence (PRICAI 2026) will be held at South China Normal University, Guangzhou, China. Paper Submission: Proceedings of PRICAI 2026 will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series. Papers should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. Submitted papers should adhere to the following page limits (including references): long papers 12-16 pages; short papers 6-11 pages. Submissions must not be published or under consideration to be published elsewhere. Topics of Interest: The areas of interest include, but are not limited to: AI Foundations & Theory (Reasoning, Planning & Scheduling, Decision Theory, Game Theory), Machine Learning & Models (Neural Networks & Deep Learning, Bayesian/Markov Networks, Evolutionary Computation, Generative AI, Large Language Models, Foundational Models), Natural Language & Multimodal (Natural Language Processing, Speech & Dialogue Systems, Text/Web Mining, Multimodal Interaction), Vision & Perception (Computer Vision, Cognitive Systems, Multimedia & Arts), Intelligent Systems & Applications (Agents, Robotics, Internet of Things, Bioinformatics, Education & Tutoring Systems, Social Intelligence), Data & Knowledge (Big Data Analytics, Data Mining & Knowledge Discovery, Knowledge Representation, Semantic Web, Ontology & Knowledge Management), Responsible AI (AI Regulations & Ethics, Trustworthy AI, Fairness & Social Choice, Explainable AI).

重要日期

会议日期

Conference Date

2026年7月11日

曾为:
  • 2026年11月17日
  • 2025年11月17日 - 2025年11月21日

投稿

Paper submission

2026年3月6日

通知

Notification date

2026年8月8日

终稿

Camera-ready

2026年2月8日

来源排名

来源: CORE2023

排名: B

研究领域: Artificial intelligence

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