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The AAAI Conference on Artificial Intelligence (AAAI) is a leading international academic conference in artificial intelligence held annually. [ 1 ] [ 2 ] [ 3 ] It ranks 4th in terms of H5 Index in Google Scholar 's list of top AI publications, after ICLR , NeurIPS , and ICML . [ 4 ]
The AAAI/ACM Conference on AI, Ethics, and Society (AIES) is a peer-reviewed academic conference series focused on societal and ethical aspects of artificial intelligence.
The Association for the Advancement of Artificial Intelligence (AAAI) is an international scientific society devoted to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence (AI), improve the teaching and training of AI practitioners, and provide guidance ...
The quality of the papers is typically ensured by having external people read the papers before they are accepted in the proceedings. The level of quality control varies considerably from conference to conference: some have only a binary accept/reject decision, others go through more thorough feedback and revisions cycles ( peer reviewing or ...
Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun [2]). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%). [3]
The AAAI Award for Artificial Intelligence for the Benefit of Humanity is an annual prize given by the Association for the Advancement of Artificial Intelligence to recognize the positive impacts of AI to meaningfully improve, protect, and enhance human life. The award is presented annually at the AAAI conference in February. [1]
Approaches for integration are diverse. [10] Henry Kautz's taxonomy of neuro-symbolic architectures [11] follows, along with some examples: . Symbolic Neural symbolic is the current approach of many neural models in natural language processing, where words or subword tokens are the ultimate input and output of large language models.
In particular, David Powers introduced the word ontology to AI to refer to real world or robotic grounding, [12] [13] [14] publishing in 1990 literature reviews emphasizing grounded ontology in association with the call for papers for a AAAI Summer Symposium Machine Learning of Natural Language and Ontology, with an expanded version published ...