AAAI Conference on Artificial Intelligence

Last updated
AAAI Conference on Artificial Intelligence
AAAI Conference.png
AbbreviationAAAI
Discipline Machine learning, artificial intelligence
Publication details
History1980–present
FrequencyAnnual
yes (on AAAI Digital Library Conference Proceedings - www.aaai.org/Library/conferences-library.php)
Website https://www.aaai.org/Conferences/AAAI/aaai.php

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] It is supported by the Association for the Advancement of Artificial Intelligence. Precise dates vary from year to year, but paper submissions are generally due at the end of August to beginning of September, and the conference is generally held during the following February. The first AAAI was held in 1980 at Stanford University, Stanford California. [5]

Contents

During AAAI-20 conference, AI pioneers and 2018 Turing Award winners Yann LeCun and Yoshua Bengio, among eight other researchers, were honored as the AAAI 2020 Fellows. [6]

Along with other conferences such as NeurIPS and ICML, AAAI uses an artificial-intelligence algorithm to assign papers to reviewers. [7]

Locations

See also

Related Research Articles

<span class="mw-page-title-main">Jürgen Schmidhuber</span> German computer scientist

Jürgen Schmidhuber is a German computer scientist noted for his work in the field of artificial intelligence, specifically artificial neural networks. He is a scientific director of the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. He is also director of the Artificial Intelligence Initiative and professor of the Computer Science program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) division at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.

<span class="mw-page-title-main">Geoffrey Hinton</span> British computer scientist (born 1947)

Geoffrey Everest Hinton is a British-Canadian computer scientist, cognitive scientist, cognitive psychologist, known for his work on artificial neural networks which earned him the title as the "Godfather of AI".

<span class="mw-page-title-main">Stuart J. Russell</span> British computer scientist and author (born 1962)

Stuart Jonathan Russell is a British computer scientist known for his contributions to artificial intelligence (AI). He is a professor of computer science at the University of California, Berkeley and was from 2008 to 2011 an adjunct professor of neurological surgery at the University of California, San Francisco. He holds the Smith-Zadeh Chair in Engineering at University of California, Berkeley. He founded and leads the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley. Russell is the co-author with Peter Norvig of the authoritative textbook of the field of AI: Artificial Intelligence: A Modern Approach used in more than 1,500 universities in 135 countries.

<span class="mw-page-title-main">Conference on Neural Information Processing Systems</span> Machine-learning and computational-neuroscience conference

The Conference and Workshop on Neural Information Processing Systems is a machine learning and computational neuroscience conference held every December. Along with ICLR and ICML, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research.

The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research. It is supported by the International Machine Learning Society (IMLS). Precise dates vary year to year, but paper submissions are generally due at the end of January, and the conference is generally held the following July. The first ICML was held 1980 in Pittsburgh.

<span class="mw-page-title-main">Yann LeCun</span> French computer scientist (born 1960)

Yann André LeCun is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice President, Chief AI Scientist at Meta.

<span class="mw-page-title-main">Future of Life Institute</span> International nonprofit research institute

The Future of Life Institute (FLI) is a nonprofit organization which aims to steer transformative technology towards benefiting life and away from large-scale risks, with a focus on existential risk from advanced artificial intelligence (AI). FLI's work includes grantmaking, educational outreach, and advocacy within the United Nations, United States government, and European Union institutions.

<span class="mw-page-title-main">Yoshua Bengio</span> Canadian computer scientist

Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA).

<span class="mw-page-title-main">Raquel Urtasun</span> Spanish scientist

Raquel Urtasun is a professor at the University of Toronto. Urtasun uses artificial intelligence, particularly deep learning, to make vehicles and other machines perceive the world more accurately and efficiently.

<span class="mw-page-title-main">International Conference on Learning Representations</span> Academic conference in machine learning

The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. Along with NeurIPS and ICML, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research.

Isabelle Guyon is a French-born researcher in machine learning known for her work on support-vector machines, artificial neural networks and bioinformatics. She is a Chair Professor at the University of Paris-Saclay. Guyon serves as the Director, Research Scientist at Google Research since October 2022.

Yejin Choi is Wissner-Slivka Chair of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.

Toloka, based in Amsterdam, is a crowdsourcing and generative AI services provider.

<span class="mw-page-title-main">Black in AI</span> Technology research organization

Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people in the field of artificial intelligence (AI) by creating space for sharing ideas, fostering collaborations, mentorship, and advocacy.

Samy Bengio is a Canadian computer scientist, Senior Director of AI and Machine Learning Research at Apple, adjunct professor at EPFL, and a former long-time scientist at Google known for leading a large group of researchers working in machine learning including adversarial settings. Bengio left Google shortly after the company fired his report, Timnit Gebru, without first notifying him. At the time, Bengio said that he had been "stunned" by what happened to Gebru. He is also among the three authors who developed Torch in 2002, the ancestor of PyTorch, one of today's two largest machine learning frameworks.

<span class="mw-page-title-main">François Chollet</span> Machine learning researcher

François Chollet is a French software engineer and artificial intelligence researcher formerly Senior Staff Engineer at Google. Chollet is the creator of the Keras deep-learning library, released in 2015. His research focuses on computer vision, the application of machine learning to formal reasoning, abstraction, and how to achieve greater generality in artificial intelligence.

<span class="mw-page-title-main">Meta AI</span> Artificial intelligence division of Meta Platforms

Meta AI is a company owned by Meta that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.

Mi Zhang is a computer scientist at Ohio State University, where he is an Associate Professor of Computer Science and Engineering and the director of AIoT and Machine Learning Systems Lab. He is best known for his work in Edge AI, Artificial Intelligence of Things (AIoT), machine learning systems, and mobile health.

AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability. The field is particularly concerned with existential risks posed by advanced AI models.

In deep learning, weight initialization describes the initial step in creating a neural network. A neural network contains trainable parameters that are modified during training: weight initialization is the pre-training step of assigning initial values to these parameters.

References

  1. Choudhury, Ambika (2021-02-08). "Which Papers Won At 35th AAAI Conference On Artificial Intelligence?". Analytics India Magazine. Retrieved 2021-09-28.
  2. ""Liquid" machine-learning system adapts to changing conditions". MIT News | Massachusetts Institute of Technology. 28 January 2021. Archived from the original on 2021-01-28. Retrieved 2021-09-28.
  3. Knight, Will. "Coronavirus Fears Will Leave Empty Seats at a Top AI Conference". Wired . ISSN   1059-1028 . Retrieved 2021-09-28.
  4. "Artificial Intelligence - Google Scholar Metrics". 2020-10-07. Archived from the original on 2020-10-07. Retrieved 2020-10-07.
  5. "AAAI-80: First National Conference on Artificial Intelligence". www.aaai.org. Retrieved 2021-09-28.
  6. Synced (2019-12-24). "Deep Learning Pioneers Yann LeCun and Yoshua Bengio Elected as AAAI-20 Fellows | Synced". syncedreview.com. Retrieved 2021-09-28.
  7. "AI conferences use AI to assign papers to reviewers". www.science.org. Retrieved 2021-09-28.