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


Pantoja, IEM and Smirnova, L and Muotri, AR and Wahlin, KJ and Kahn, J and Boyd, JL and Gracias, DH and Harris, TD and Cohen-Karni, T and Caffo, BS and Szalay, AS and Han, F and Zack, DJ and Etienne-Cummings, R and Akwaboah, A and Romero, JC and El Din, D-MA and Plotkin, JD and Paulhamus, BL and Johnson, EC and Gilbert, F and Curley, JL and Cappiello, B and Schwamborn, JC and Hill, EJ and Tornero, D and Krall, C and Parri, R and Sille, F and Levchenko, A and Jabbour, RE and Kagan, BJ and Berlinicke, CA and Huang, Q and Maertens, A and Herrmann, K and Tsaioun, K and Dastgheyb, R and Habela, CW and Vogelstein, JT and Hartung, T, First Organoid Intelligence (OI) workshop to form an OI community, Frontiers in Artificial Intelligence pp. 1-15. ISSN 2624-8212 (2023) [Refereed Article]

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DOI: doi:10.3389/frai.2023.1116870


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 a

Item Details

Item Type:Refereed Article
Keywords:organoid, dish brain, ethics, right, consciousness
Research Division:Philosophy and Religious Studies
Research Group:Applied ethics
Research Field:Ethical use of new technology
Objective Division:Culture and Society
Objective Group:Ethics
Objective Field:Technological ethics
UTAS Author:Gilbert, F (Associate Professor Frederic Gilbert)
ID Code:155750
Year Published:2023
Deposited By:Philosophy and Gender Studies
Deposited On:2023-03-13
Last Modified:2023-03-21

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