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Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.
The Distributed Artificial Intelligence Research Institute (or DAIR Institute) is a research institute founded by Timnit Gebru in December 2021. [1] [2] The institute announced itself as "an independent, community-rooted institute set to counter Big Tech’s pervasive influence on the research, development and deployment of AI."
Pages in category "Distributed artificial intelligence" The following 4 pages are in this category, out of 4 total. This list may not reflect recent changes. ...
Parallel intelligence has gained considerable attention in recent years due to advancements in AI technologies, such as machine learning, deep learning, and natural language processing. These technologies have enabled the development of intelligent systems that can collaborate with humans in various domains, including healthcare, finance ...
She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR). In December 2020, public controversy erupted over the circumstances surrounding Gebru's departure from Google , where she was technical co-lead of the Ethical Artificial Intelligence Team.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence . The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Previously, she was Deputy United States Chief Technology Officer and Founding Director of the National Artificial Intelligence Initiative Office at the United States' White House Office of Science and Technology Policy. She is an American roboticist specializing in multi-robot systems, swarm robotics, and distributed artificial intelligence.
In this domain, the problem of integrating various AI algorithms into a single intelligent system arises spontaneously, with blackboards providing a way for a collection of distributed, modular natural language processing algorithms to each annotate the data in a central space, without needing to coordinate their behavior.