Publications related to Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology

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The research presented in this article draws inspiration from previous efforts aimed at replicating the functions of various solid-state memristors using a variety of materials. The memristor circuit emulator serves as a cost-effective tool for circuit des ...

Ieee-Inst Electrical Electronics Engineers Inc2024

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EPFL2024

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The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

EPFL2024

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Graph generative deep learning models with an application to circuit topologies

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Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison.Managing their complexity and facilitating their design drove part of the co-evolution of moder ...

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

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Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology

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Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

A modular multiple frequency inductive link to wirelessly power multiple miniaturized implants

Graph generative deep learning models with an application to circuit topologies

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Optimizing Dynamic Aperture Studies with Active Learning

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

A modular multiple frequency inductive link to wirelessly power multiple miniaturized implants

Graph generative deep learning models with an application to circuit topologies

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Optimizing Dynamic Aperture Studies with Active Learning

Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations