Search Results for author: Maxwell Aifer

Found 2 papers, 0 papers with code

Thermodynamic Natural Gradient Descent

no code implementations22 May 2024 Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin Crooks, Patrick J. Coles

Second-order training methods have better convergence properties than gradient descent but are rarely used in practice for large-scale training due to their computational overhead.

Language Modelling

Thermodynamic Computing System for AI Applications

no code implementations8 Dec 2023 Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin Crooks, Antonio J. Martinez, Faris Sbahi, Patrick J. Coles

Recent breakthroughs in artificial intelligence (AI) algorithms have highlighted the need for novel computing hardware in order to truly unlock the potential for AI.

Uncertainty Quantification

Cannot find the paper you are looking for? You can Submit a new open access paper.