In-memory Computing with Memristors and Memtransistors - Daniele Ielmini

This tutorial has been part of the Conference on Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCas) that took place from the 23rd to the 25th.

Electronic Properties of Interfaces with Hybrid Metal Halide Perovskites: How to Ob...- Norbert Koch
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Electronic Properties of Interfaces with Hybrid Metal Halide Perovskites: How to Ob...- Norbert Koch

Neuromorphic computing with memristors: from device to system - Professor Huaqiang Wu
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Neuromorphic computing with memristors: from device to system - Professor Huaqiang Wu

Modularity at Various Length Scales in Superconducting Quantum Processors | J.-C. Besse, ETHZ | #02
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Modularity at Various Length Scales in Superconducting Quantum Processors | J.-C. Besse, ETHZ | #02

Neuromorphic computing - with Johan Mentink
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Neuromorphic computing - with Johan Mentink

tinyML Talks: Processing-In-Memory for Efficient AI Inference at the Edge
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tinyML Talks: Processing-In-Memory for Efficient AI Inference at the Edge

Leon Chua, UC Berkeley - 10 Things You Didn't Know About Memristors
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Leon Chua, UC Berkeley - 10 Things You Didn't Know About Memristors

Cosyne 2022 Tutorial on Spiking Neural Networks - Part 1/2
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Cosyne 2022 Tutorial on Spiking Neural Networks - Part 1/2

Yann LeCun's $1B Bet Against LLMs [Part 1]
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Yann LeCun's $1B Bet Against LLMs [Part 1]

Nanotechnology and the Brain: Neuromorphic Computing |  (ft. Dr. Jean Anne Incorvia) | Ep.100
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Nanotechnology and the Brain: Neuromorphic Computing | (ft. Dr. Jean Anne Incorvia) | Ep.100

Neuromorphic computing with emerging memory devices
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Neuromorphic computing with emerging memory devices

Quantum BC Seminar Series on August 12, 2025: Elham Torabian and Jonas Jäger
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Quantum BC Seminar Series on August 12, 2025: Elham Torabian and Jonas Jäger

Memristors for Analog AI Chips
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Memristors for Analog AI Chips

ACACES 2023: Neuromorphic computing: from theory to applications, Lecture 1 – Yulia Sandamirskaya
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ACACES 2023: Neuromorphic computing: from theory to applications, Lecture 1 – Yulia Sandamirskaya

AI Hardware w/ Jim Keller
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AI Hardware w/ Jim Keller

Scott Aaronson - The TRUTH About Quantum Computing
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Scott Aaronson - The TRUTH About Quantum Computing

Reliable Predictive Modeling Under Data, Fidelity & Hardware Constraints
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Reliable Predictive Modeling Under Data, Fidelity & Hardware Constraints

ICONS 2020 Keynote Presentation by Sander Bohte: Computing with Spiking Neurons
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ICONS 2020 Keynote Presentation by Sander Bohte: Computing with Spiking Neurons

Wei Lu (U Mich) Neuromorphic Computing Based on Memristive Materials and Devices
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Wei Lu (U Mich) Neuromorphic Computing Based on Memristive Materials and Devices

J. Grollier - Neuromorphic computing: overview and challenges
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J. Grollier - Neuromorphic computing: overview and challenges

ESWEEK 2021 Education - Spiking Neural Networks
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ESWEEK 2021 Education - Spiking Neural Networks