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利用树突性质来推进机器学习和神经启发的计算

Michalis Pagkalos1, Roman Makarov2, Panayiota Poirazi3

  • 1Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology Hellas (FORTH), Heraklion, 70013, Greece; Department of Biology, University of Crete, Heraklion, 70013, Greece. Electronic address: https://twitter.com/MPagkalos.

Current opinion in neurobiology
|February 23, 2024
PubMed
概括

灵感来自大脑的工程利用树突神经元机制来创造可持续的人工智能 (AI). 这种方法解决了人工智能挑战,如能源消耗和学习效率,提供了强大的,节能的替代方案.

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