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Optimizing Workflows with Neural Networks

The article discusses a hybrid approach to optimizing work processes by transferring some tasks to neural networks and solving the rest using alternative methods, leading to reduced energy costs and improved efficiency.

Featured in No. 91 on 2 Apr 2025 · 6 days after release

Released
27 Mar 2025
First featured
No. 91 · 2 Apr 2025
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 5195894

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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