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Neural networks for socio-labor regulation: a neuromorphic approach to human-centric AI in urban economies

2025-05-23

Abstract excerpt

<title>Abstract</title> <p>This study investigates the implementation and future potential of neural networks for socio-labor regulation within the urban economies of BRICS megacities, emphasizing a human-centric AI approach. Analysis reveals significant disparities in AI development across these urban centers, with Beijing and Shanghai leading in investment, while Moscow ranks third among all analyzed cities wit...

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Literature Corpus work
dccc3c2d-15aa-5600-bc88-f67a2db4653f
DOI
10.21203/rs.3.rs-6567951/v1
Open publication

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Neural networks for socio-labor regulation: a neuromorphic approach to human-centric AI in urban economiesDOI 10.21203/rs.3.rs-6567951/v1
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