AAAI Spring Symposium Series

AAAI Spring Symposium Series
Name	AAAI Spring Symposium Series
Status	Active
Genre	Academic conference series
Frequency	Annual (spring)
Country	United States
First	1986
Organizer	Association for the Advancement of Artificial Intelligence

AAAI Spring Symposium Series The AAAI Spring Symposium Series is an annual convening of researchers and practitioners in the field of artificial intelligence that concentrates on focused, contemporary topics. It brings together contributors from institutions and laboratories for short, intensive meetings that combine presentations, workshops, and discussions featuring interdisciplinary perspectives. Participants typically represent universities, research institutes, corporations, and government laboratories engaged in AI research and application.

Overview

The Symposium Series assembles scholars affiliated with Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, University of California, Berkeley, University of Oxford, University of Cambridge, California Institute of Technology, Princeton University, Harvard University, Columbia University, University of Toronto, University of Washington, University of Illinois Urbana–Champaign, Georgia Institute of Technology, University of Michigan, University of Pennsylvania, University of California, Los Angeles, Cornell University, Yale University, New York University, Johns Hopkins University, Duke University, University of Texas at Austin, University of California, San Diego, Imperial College London, University of Edinburgh, ETH Zurich, Tsinghua University, Peking University, National University of Singapore, University of Tokyo, Seoul National University, Korea Advanced Institute of Science and Technology, Microsoft Research, Google Research, Facebook AI Research, DeepMind, IBM Research, Amazon Research, Apple Machine Learning Research, OpenAI, NVIDIA Research, Intel Labs, Huawei Noah’s Ark Lab, Baidu Research, Alibaba DAMO Academy, Tencent AI Lab, Siemens AG, Boston Dynamics, DARPA, National Science Foundation, European Commission, Wellcome Trust, Royal Society, Australian Research Council, Canadian Institutes of Health Research, German Research Foundation, Chinese Academy of Sciences, Max Planck Society, Riken, RIKEN, CNRS, INRIA, Barcelona Supercomputing Center, Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, Argonne National Laboratory, Sandia National Laboratories, Brookhaven National Laboratory, NASA Ames Research Center.

History and Development

Initial meetings drew organizers and attendees from Association for Computing Machinery, Institute of Electrical and Electronics Engineers, NeurIPS (Conference on Neural Information Processing Systems), International Joint Conference on Artificial Intelligence, European Conference on Artificial Intelligence, Conference on Computer Vision and Pattern Recognition, International Conference on Machine Learning, Conference on Neural Information Processing Systems, SIGCHI Conference on Human Factors in Computing Systems, COLT (Conference on Learning Theory), ICLR (International Conference on Learning Representations), AAAI Conference on Artificial Intelligence, FAccT (ACM Conference on Fairness, Accountability, and Transparency), EMNLP (Conference on Empirical Methods in Natural Language Processing), ACL (Association for Computational Linguistics), KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), ICRA (International Conference on Robotics and Automation), IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems), LREC (Language Resources and Evaluation Conference). Early themes connected academic groups including Symbolic AI Group, Connectionist Group, Knowledge Representation Group, Planning Group, Multiagent Systems Group, Cognitive Robotics Group, Human-Computer Interaction Group, Computational Linguistics Group, Computer Vision Group, Machine Learning Group, as well as labs such as SRI International, Bell Labs, Xerox PARC, Hitachi Research Laboratory, Fujitsu Laboratories, NEC Corporation Research Laboratories.

Organization and Themes

Each spring symposium is organized by program chairs drawn from universities and research centers, often with support from organizations such as Association for the Advancement of Artificial Intelligence, National Science Foundation, Defense Advanced Research Projects Agency, European Research Council, Office of Naval Research, Air Force Research Laboratory, Army Research Laboratory, NSF CAREER, Wellcome Trust Investigator Awards, Royal Society Fellowships, Marie Skłodowska-Curie Actions, Horizon 2020 programs. Thematic tracks have ranged across intersections with named projects and initiatives like Human Brain Project, BRAIN Initiative, Horizon Europe, AI4EU, Partnership on AI, OpenAI Scholars Program, AI for Good, Data to Decisions (D2D), Smart Nation Singapore. Typical themes have included workshops on natural language processing, computer vision, robotics, knowledge representation, multiagent systems, reinforcement learning, explainable AI, fairness in AI, privacy-preserving machine learning, causal inference, Bayesian networks, probabilistic graphical models, deep learning, symbolic reasoning, hybrid systems, human-robot interaction, computational social science, neuroscience-informed AI, bioinformatics applications, computational creativity, AI and law, AI safety.

Proceedings and Publications

Proceedings are typically published in coordination with AAAI publications programs and distributed to libraries and digital repositories associated with Association for the Advancement of Artificial Intelligence, ACM Digital Library, IEEE Xplore, arXiv, SSRN, Zenodo, ResearchGate, HAL (open archive), CORE, Google Scholar, Scopus, Web of Science, CrossRef, DOI System, ORCID, PubMed Central, Institutional Repositories hosted by universities such as Stanford Digital Repository, MIT Libraries, Harvard DASH, CaltechTHESIS, Cornell eCommons. Selected papers have been expanded into journal articles in venues like Journal of Artificial Intelligence Research, Artificial Intelligence (journal), Machine Learning (journal), Neural Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Intelligent Systems and Technology, Nature Machine Intelligence, Science Robotics, Proceedings of the National Academy of Sciences, Communications of the ACM, Nature, Science.

Notable Symposia and Impact

Individual symposia have catalyzed developments linked to programs and entities including ImageNet Challenge, AlexNet, Transformer (machine learning model), BERT, GPT (Generative Pre-trained Transformer), AlphaGo, AlphaZero, DALL·E, CLIP, Google DeepMind, OpenAI Five, Robustness and Adversarial Examples community, Adversarial attacks and defenses research, Explainable AI community, Fairness Accountability and Transparency research, Causal Inference community, Probabilistic Programming community, Symbolic-Connectionist Integration initiatives, Human-Robot Interaction projects, Collaborative Robotics consortia, Autonomous Vehicles research initiatives, Smart Cities projects, Healthcare AI deployments such as partnerships with Mayo Clinic, Cleveland Clinic, Johns Hopkins Medicine, NHS England, FDA (U.S. Food and Drug Administration). The series influenced collaborations with industrial research labs and funding bodies like Amazon Web Services, Google Cloud Platform, Microsoft Azure, NVIDIA Deep Learning Institute, Intel AI Academy, Facebook AI Research Residency, Apple AI/ML Research.

Participation and Selection Process

Participation generally includes invited talks, contributed papers, posters, panels, and tutorials. Program committees are drawn from faculty and researchers affiliated with Stanford University School of Engineering, MIT Computer Science and Artificial Intelligence Laboratory, CMU School of Computer Science, Oxford Department of Computer Science, Cambridge Computer Laboratory, ETH Zurich Department of Computer Science, Tsinghua Department of Computer Science, Peking Department of Computer Science, National University of Singapore School of Computing, University of Tokyo Graduate School of Information Science and Technology, and industry research groups such as Microsoft Research Cambridge, Google DeepMind London, IBM Research Yorktown Heights, Facebook AI Research New York. Submission review follows peer-review norms adopted by ACM SIGAI, IEEE Computer Society, AAAI Fellows, and involves criteria comparable to those at NeurIPS, ICML, ICLR, ACL, CVPR, ECCV, ICCV, AAMAS, HRI (ACM/IEEE International Conference on Human-Robot Interaction), CHI. Selected contributions often lead to collaborations funded through grants from NSF, ERC, DARPA, Wellcome Trust, NIH (National Institutes of Health), NIHR (National Institute for Health Research).

Category:Computer science conferences