Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning [PDF]
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2022 Analog computing is attractive compared to digital computing due to its potential for achieving higher computational density and higher energy efficiency.
Pratik Kumar +3 more
semanticscholar +1 more source
In‐Memory Mathematical Operations with Spin‐Orbit Torque Devices
Advanced Science, 2022 Analog arithmetic operations are the most fundamental mathematical operations used in image and signal processing as well as artificial intelligence (AI). In‐memory computing (IMC) offers a high performance and energy‐efficient computing paradigm.
Ruofan Li +20 more
doaj +1 more source
Diffractive integrated photonics for analog computing and machine learning
, 2022 Gu, TingyiRecently, optical analog signal processing draws a lot of attentions due to the rising of deep learning, and integrated photonics is a promising platform.
Wang, Zi
core +1 more source
Analog Optical Computing for Artificial Intelligence
Engineering, 2022 The rapid development of artificial intelligence (AI) facilitates various applications from all areas but also poses great challenges in its hardware implementation in terms of speed and energy because of the explosive growth of data.
Jiamin Wu +6 more
doaj +1 more source
Realization of a magnonic analog adder with frequency-division multiplexing
AIP Advances, 2023 Being able to accurately control the interaction of spin waves is a crucial challenge for magnonics in order to offer an alternative wave-based computing scheme for certain technological applications.
Frank Schulz +8 more
doaj +1 more source
Analog Computing for Signal Processing and Communications – Part I: Computing With Microwave Networks [PDF]
IEEE Transactions on Signal ProcessingAnalog computing has been recently revived due to its potential for energy-efficient and highly parallel computations. In this two-part paper, we explore analog computers that linearly process microwave signals, named microwave linear analog computers ...
Matteo Nerini, Bruno Clerckx
semanticscholar +1 more source
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices [PDF]
IEEE Computer Society Annual Symposium on VLSI, 2021 In this paper, we develop an in-memory analog computing (IMAC) architecture realizing both synaptic behavior and activation functions within non-volatile memory arrays.
Mohammed E. Elbtity +4 more
semanticscholar +1 more source
Analog Computing for Signal Processing and Communications – Part II: Toward Gigantic MIMO Beamforming [PDF]
IEEE Transactions on Signal ProcessingAnalog-domain operations offer a promising solution to accelerating signal processing and enabling future multiple-input multiple-output (MIMO) communications with thousands of antennas.
Matteo Nerini, Bruno Clerckx
semanticscholar +1 more source
Beyond zeros and ones – analog computing in the twenty-first century
Int. J. Parallel Emergent Distributed Syst., 2023 Analog computing is often considered to be an outdated technology only to be found and cared for in museums but not as the basis of modern cutting edge computing. Nothing could be further from reality.
B. Ulmann
semanticscholar +1 more source
Rapid prototyping mixed-signal development kit for tactile neural computing
Frontiers in Neuroscience, 2023 Intelligent sensor systems are essential for building modern Internet of Things applications. Embedding intelligence within or near sensors provides a strong case for analog neural computing.
Vasudev S. Mallan +4 more
doaj +1 more source