First Organoid Intelligence (OI) workshop to form an OI community

The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, p...

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Bibliographic Details
Published in:	Frontiers in artificial intelligence Vol. 6; p. 1116870
Main Authors:	Morales Pantoja, Itzy E, Smirnova, Lena, Muotri, Alysson R, Wahlin, Karl J, Kahn, Jeffrey, Boyd, J Lomax, Gracias, David H, Harris, Timothy D, Cohen-Karni, Tzahi, Caffo, Brian S, Szalay, Alexander S, Han, Fang, Zack, Donald J, Etienne-Cummings, Ralph, Akwaboah, Akwasi, Romero, July Carolina, Alam El Din, Dowlette-Mary, Plotkin, Jesse D, Paulhamus, Barton L, Johnson, Erik C, Gilbert, Frederic, Curley, J Lowry, Cappiello, Ben, Schwamborn, Jens C, Hill, Eric J, Roach, Paul, Tornero, Daniel, Krall, Caroline, Parri, Rheinallt, Sillé, Fenna, Levchenko, Andre, Jabbour, Rabih E, Kagan, Brett J, Berlinicke, Cynthia A, Huang, Qi, Maertens, Alexandra, Herrmann, Kathrin, Tsaioun, Katya, Dastgheyb, Raha, Habela, Christa Whelan, Vogelstein, Joshua T, Hartung, Thomas
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 28-02-2023
Subjects:	Artificial Intelligence biological computing brain cognition electrophysiology microphysiological systems cognition electrophysiology microphysiological systems Organoid Intelligence brain artificial intelligence biological computing
Online Access:	Get full text
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Summary:	The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, progressive learning, and plasticity are unmatched by any computer system. Recent advances in stem cell technology have elevated the field of cell culture to higher levels of complexity, such as the development of three-dimensional (3D) brain organoids that recapitulate human brain functionality better than traditional monolayer cell systems. Organoid Intelligence (OI) aims to harness the innate biological capabilities of brain organoids for biocomputing and synthetic intelligence by interfacing them with computer technology. With the latest strides in stem cell technology, bioengineering, and machine learning, we can explore the ability of brain organoids to compute, and store given information (input), execute a task (output), and study how this affects the structural and functional connections in the organoids themselves. Furthermore, understanding how learning generates and changes patterns of connectivity in organoids can shed light on the early stages of cognition in the human brain. Investigating and understanding these concepts is an enormous, multidisciplinary endeavor that necessitates the engagement of both the scientific community and the public. Thus, on Feb 22-24 of 2022, the Johns Hopkins University held the first Organoid Intelligence Workshop to form an OI Community and to lay out the groundwork for the establishment of OI as a new scientific discipline. The potential of OI to revolutionize computing, neurological research, and drug development was discussed, along with a vision and roadmap for its development over the coming decade.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Edited by: Huixiao Hong, United States Food and Drug Administration, United States Reviewed by: Hui Liu, University of Bremen, Germany; Jonathan Andrew Miller, Onto Innovation, United States This article was submitted to Organoid Intelligence, a section of the journal Frontiers in Artificial Intelligence
ISSN:	2624-8212 2624-8212
DOI:	10.3389/frai.2023.1116870