The enduring relevance of simple machine learning models
Hopfield’s associative memory model and Hinton’s Boltzmann machines showcase the importance of simplicity and interpretability in AI. Their work urges modern AI to balance power with transparency, ensuring models remain comprehensible for research, education, and broader applications.
Authors
- Marco Baiesi (ORCID: https://orcid.org/0000-0002-4513-9191)
- Samir Suweis (ORCID: https://orcid.org/0000-0002-1603-8375)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- Europhysics news
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epn/2025108
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00