The Entropy Economy and the Kolmogorov Learning Cycle: Leveraging the intersection of Machine Learning and Algorithmic Information Theory to jointly optimize energy and learning

•Joint op(miza(on of energy and learning has poten(al to reduce carbon 30 %.•Entropy economy op(mized where, when, and how AI/ML models are created.•Less-Energy-Usage network (LEAN) minimizes deep network energy costs.•Kolmogorov structure func(on to achieve energy efficient, generalizable AI/ML mod...

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Veröffentlicht in:	Physica. D 2024-05, Vol.461 (C), p.134051, Article 134051
Hauptverfasser:	Evans, Scott C., Shah, Tapan, Huang, Hao, Ekanayake, Sachini Piyoni
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithmic Information Theory Entropy Economy Kolmogorov complexity Kolmogorov structure function Machine learning
Online-Zugang:	Volltext
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