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Andrew Chamberlin, Andrew Gerber, Mason Palmer, Tim Goodale, Noel Daniel Gundi, Koushik Chakraborty and Sanghamitra Roy
Artificial Intelligence (AI) hardware accelerators have seen tremendous developments in recent years due to the rapid growth of AI in multiple fields. Many such accelerators comprise a Systolic Multiply?Accumulate Array (SMA) as its computational brain. ...
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Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Cuong Pham-Quoc, Ngoc-Thinh Tran, Colin C. Murphy and Emanuel Popovici
This study proposes a heterogeneous hardware-based framework for network intrusion detection using lightweight artificial neural network models. With the increase in the volume of exchanged data, IoT networks? security has become a crucial issue. Anomaly...
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Stavros Kalapothas, Manolis Galetakis, Georgios Flamis, Fotis Plessas and Paris Kitsos
In recent years, the advancements in specialized hardware architectures have supported the industry and the research community to address the computation power needed for more enhanced and compute intensive artificial intelligence (AI) algorithms and app...
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Sophie Crisp, Alexander Ody and Pietro Musumeci
Although hundreds of keV in energy gain have already been demonstrated in dielectric laser accelerators (DLAs), the challenge of creating structures that can confine electrons for multiple millimeters remains. We focus here on dual gratings with single-s...
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Pablo Vidal García, Stefano Sarti, Martina Carillo, Lucia Giuliano, Augusto Marcelli, Bruno Spataro, Andrea Alimenti, Kostiantyn Torokhtii, Enrico Silva and Nicola Pompeo
In this work, a detailed parametric study assessing the impact of low-conductivity coatings on the radio-frequency accelerating cavity quality factor and resonance frequency shift is presented. In particular, this study is aimed at proving the feasibilit...
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Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
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Jeff Dix, Jeremy Holleman and Benjamin J. Blalock
A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that offers the user the capability to create an MLP neural network hardware design within the available ...
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Gevy Jiawei Cao
Research on plasma accelerators for high-energy colliders has rapidly progressed over the past few decades. Plasma acceleration with a high repetition rate will enable higher collider luminosity, but results in a heated plasma. This study investigates tw...
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Paolo Tomassini, Vojtech Horny and Domenico Doria
High-quality ionization injection methods for wakefield acceleration driven by lasers or charged beams (LWFA/PWFA) can be optimized so as to generate high-brightness electron beams with tuneable duration in the attosecond range. We present a model of the...
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Stepan Yaramyshev, Winfried Barth, Simon Lauber, Maksym Miski-Oglu, Anna Rubin, Uwe Scheeler, Hartmut Vormann and Markus Vossberg
Numerous ambitious particle accelerator facilities, based on proton and ion linear accelerators, have recently been in development for fundamental research, as well as for industrial applications. The advanced design of such new machines, as well as the ...
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