Neural networks for abstraction and reasoning

Abstract For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new concepts from a minimal set of examples, in settings where humans find this easy. While specific neural networks ar...

詳細記述

書誌詳細
主要な著者: Mikel Bober-Irizar, Soumya Banerjee
フォーマット: 論文
言語:English
出版事項: Nature Portfolio 2024-11-01
シリーズ:Scientific Reports
オンライン・アクセス:https://doi.org/10.1038/s41598-024-73582-7