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Thomas Dalgaty

Showing results (1-10 of 11) with videos related to

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Nature Materials|November 13, 2025
Memristors for Bayesian in-memory computingThomas Dalgaty, Elisa Vianello, Damien Querlioz
Frontiers in Neuroscience|March 12, 2021
Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network ModelsThomas Dalgaty, John P Miller, Elisa Vianello, et al.
Sensors (Basel, Switzerland)|February 28, 2023
End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel ArrayMaria Lepecq, Thomas Dalgaty, William Fabre, et al.
Current Opinion in Insect Science|December 17, 2018
Insect-inspired neuromorphic computingThomas Dalgaty, Elisa Vianello, Barbara De Salvo, et al.
Nature Communications|November 1, 2022
Author Correction: Self-organization of an inhomogeneous memristive hardware for sequence learningMelika Payvand, Filippo Moro, Kumiko Nomura, et al.
Nature Communications|October 2, 2022
Self-organization of an inhomogeneous memristive hardware for sequence learningMelika Payvand, Filippo Moro, Kumiko Nomura, et al.
Nature Communications|October 31, 2025
Bayesian continual learning and forgetting in neural networksDjohan Bonnet, Kellian Cottart, Tifenn Hirtzlin, et al.
Nature Communications|January 3, 2024
Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systemsThomas Dalgaty, Filippo Moro, Yiğit Demirağ, et al.
Small (Weinheim an Der Bergstrasse, Germany)|June 9, 2018
Monolayer Graphene Coupled to a Flexible Plasmonic Nanograting for Ultrasensitive Strain MonitoringRaphael F Tiefenauer, Thomas Dalgaty, Tobias Keplinger, et al.
Nature Communications|November 20, 2023
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networksDjohan Bonnet, Tifenn Hirtzlin, Atreya Majumdar, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Nature Materials|November 13, 2025
Memristors for Bayesian in-memory computingThomas Dalgaty, Elisa Vianello, Damien Querlioz
Frontiers in Neuroscience|March 12, 2021
Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network ModelsThomas Dalgaty, John P Miller, Elisa Vianello, et al.
Sensors (Basel, Switzerland)|February 28, 2023
End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel ArrayMaria Lepecq, Thomas Dalgaty, William Fabre, et al.
Current Opinion in Insect Science|December 17, 2018
Insect-inspired neuromorphic computingThomas Dalgaty, Elisa Vianello, Barbara De Salvo, et al.
Nature Communications|November 1, 2022
Author Correction: Self-organization of an inhomogeneous memristive hardware for sequence learningMelika Payvand, Filippo Moro, Kumiko Nomura, et al.
Nature Communications|October 2, 2022
Self-organization of an inhomogeneous memristive hardware for sequence learningMelika Payvand, Filippo Moro, Kumiko Nomura, et al.
Nature Communications|October 31, 2025
Bayesian continual learning and forgetting in neural networksDjohan Bonnet, Kellian Cottart, Tifenn Hirtzlin, et al.
Nature Communications|January 3, 2024
Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systemsThomas Dalgaty, Filippo Moro, Yiğit Demirağ, et al.
Small (Weinheim an Der Bergstrasse, Germany)|June 9, 2018
Monolayer Graphene Coupled to a Flexible Plasmonic Nanograting for Ultrasensitive Strain MonitoringRaphael F Tiefenauer, Thomas Dalgaty, Tobias Keplinger, et al.
Nature Communications|November 20, 2023
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networksDjohan Bonnet, Tifenn Hirtzlin, Atreya Majumdar, et al.
Pageof 2