Search Results for author: Newton Howard

Found 4 papers, 1 papers with code

Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units

no code implementations18 Mar 2024 Murat Isik, Sols Miziev, Wiktoria Pawlak, Newton Howard

This paper introduces a groundbreaking digital neuromorphic architecture that innovatively integrates Brain Code Unit (BCU) and Fundamental Code Unit (FCU) using mixedsignal design methodologies.

Computational Efficiency

Deep clustering of longitudinal data

no code implementations9 Feb 2018 Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard

These methods provide a framework to model complex, non-linear interactions in large datasets, and are naturally suited to the analysis of hierarchical data such as, for instance, longitudinal data with the use of recurrent neural networks.

Clustering Deep Clustering +1

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