Work

Learning with artificial and natural neural networks: trade-offs in energy consumption and representations

Year: 2025

Type: article

Abstract: Decades after Hopfield and Hinton’s seminal works on neural computation and Boltzmann machines, the use of neural networks in machine learning has revolutionized artificial intelligence. Physics, with the help of neuroscience, still has a lot to say on many issues. We here discuss two of them, energy consumption and representations.

Source: Europhysics news

Authors: Simona Cocco, Rémi Monasson

Institutions: Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, École Normale Supérieure - PSL, Laboratoire de Physique de l'Ecole Normale Supérieure

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $1,243

OpenAlex ID: W4408768931

FWCI:

Cites: 6

Cited by:

Related to: 10