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20172026
most citedParallel convolution processing using an integrated photonic tensor core

1.9k citations · 2.3k across the 15 of their papers we have counts for

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Showing cs.ETShow all

7 papers · 1 filter

cs.ET2026

Modern analog computing for solving differential and matrix equations

Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo +1

In recent years, driven by the computational demands of data-intensive applications such as artificial intelligence and scientific computing, analog computing has gained renewed in…

cs.ET2024★ 11 cited

The Inherent Adversarial Robustness of Analog In-Memory Computing

Corey Lammie, Julian Büchel, Athanasios Vasilopoulos +2

A key challenge for Deep Neural Network (DNN) algorithms is their vulnerability to adversarial attacks. Inherently non-deterministic compute substrates, such as those based on Anal…

cs.ET2024★ 9 cited

Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training

Corey Lammie, Athanasios Vasilopoulos, Julian Büchel +4

Analog-Based In-Memory Computing (AIMC) inference accelerators can be used to efficiently execute Deep Neural Network (DNN) inference workloads. However, to mitigate accuracy losse…

cs.ET2020★ 113 cited

Robust High-dimensional Memory-augmented Neural Networks

Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo +4

Traditional neural networks require enormous amounts of data to build their complex mappings during a slow training procedure that hinders their abilities for relearning and adapti…

cs.ET2020★ 122 cited

Mixed-precision deep learning based on computational memory

S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau +11

Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition…

cs.ET2019★ 1 cited

In-memory hyperdimensional computing

Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini +3

Hyperdimensional computing (HDC) is an emerging computational framework that takes inspiration from attributes of neuronal circuits such as hyperdimensionality, fully distributed h…

cs.ET2018

In-memory computing on a photonic platform

Carlos Ríos, Nathan Youngblood, Zengguang Cheng +5

Collocated data processing and storage are the norm in biological systems. Indeed, the von Neumann computing architecture, that physically and temporally separates processing and m…