Biological underpinnings for lifelong learning machinesDownload PDFOpen Website

2022 (modified: 18 Nov 2022)Nat. Mach. Intell. 2022Readers: Everyone
Abstract: It is an outstanding challenge to develop intelligent machines that can learn continually from interactions with their environment, throughout their lifetime. Kudithipudi et al. review neuronal and non-neuronal processes in organisms that address this challenge and discuss pathways to developing biologically inspired approaches for lifelong learning machines.
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