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This talk was part of SNUFA 2025. See more at http://snufa.net/2025.

By: Julie Grollier - Affiliation: CNRS/Thales lab, Palaiseau, France Date: 2021-06-16T114:30:00+00:00​ In this talk, I want to show ...

Moore's law is a term coined by Carver Mead, a Caltech professor who is also the father of Neuromorphic Engineering. It refers to ...

Follow Along with the Colab Notebook: https://github.com/open-neuromorphic/hands-on-session-snntorch-230302 snnTorch is a ...

In the new era of cognitive computing, systems will be able to learn and interact with the environment in ways that will drastically ...

Lava is an open-source software framework for developing neuro-inspired applications and mapping them to heterogeneous ...

Lecture Notes: https://analogicus.com/aic2025/2025/02/06/Lecture-4-Analog-Neural-Networks.html Demo: ...

In this talk, Dylan gives a hands-on introduction to building ultra-low-power audio applications on the neuromorphic SNN ...

Event cameras output changes in illumination asynchronously rather than frames at a certain interval. For computer vision tasks, ...

... quantum hardware for developing a mock Hardware um is there such a thing as Quantum neuromorphic computing yeah um so ...

This video is part of the open course "Neuroscience for machine learners". Find out more at https://neuro4ml.github.io/

This talk was part of SNUFA 2024. See more at http://snufa.net/2024.

This talk was part of SNUFA 2023. See more at http://snufa.net/2023/

Katie co-leads the TENNLab Neuromorphic Computing Research Group at UT. She has over 100 publications as well as seven ...

UTokyo 3MT 2021 - Ashish GAUTAM - Spike Pattern Detection Using Neuromorphic Computing The University of Tokyo ...

... neuromorphic computing yes it's a good application uh especially today I think you will hear some uh neuromorphic computing ...

In this regard, neuromorphic computing is among the most promising approaches for achieving energy-efficient hardware systems ...

In this episode of student talks, Matei loan Stan describes the combination of state space models and spiking neural networks for ...

Several researchers involved with the Telluride workshop describe what is Neuromorphic Engineering. Edited by Jensen Hsiao ...

Training deep neural networks relies on backpropagation, which lacks biological plausibility. PEPITA is an alternative learning ...