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Extreme Partial-Sum Quantization for Analog Computing-in-Memory Neural Network Accelerators

ACM Journal on Emerging Technologies in Computing Systems, 2022
In Analog Computing-in-Memory (CIM) neural network accelerators, analog-to-digital converters (ADCs) are required to convert the analog partial sums generated from a CIM array to digital values.
Jae-Joon Kim, Hyungjun Kim, Yulhwa Kim
exaly   +3 more sources

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Energy-based learning algorithms for analog computing: a comparative study

Neural Information Processing Systems, 2023
Energy-based learning algorithms have recently gained a surge of interest due to their compatibility with analog (post-digital) hardware. Existing algorithms include contrastive learning (CL), equilibrium propagation (EP) and coupled learning (CpL), all ...
B. Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar   +3 more
semanticscholar   +1 more source

Off‐Resonance Spin‐Locked Metasurfaces Empowered by Quasi‐Bound States in the Continuum for Optical Analog Computing

Advanced Functional Materials, 2023
Metasurfaces with engineered phase discontinuity offer extra degrees of freedom to control the angular spectrum characteristics of light and can be used to construct planar metalenses with a variety of anomalous functionalities.
Haochen Yang, Xuan Chen, En-Zong Wu, Peng Tang, Li-Qiao Jing, Fei Gao, Hong-Sheng Chen, Zuo-Jia Wang   +7 more
semanticscholar   +1 more source

Modeling and Simulation of Circuit-Level Nonidealities for an Analog Computing Design Approach With Application to EEG Feature Extraction

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
This article presents a design approach for the modeling and simulation of ultralow power (ULP) analog computing machine learning (ML) circuits for seizure detection using electroencephalography (EEG) signals in wearable health monitoring applications ...
Nikita Mirchandani, Yuqing Zhang, Safaa A. Abdelfattah, Marvin Onabajo, Aatmesh Shrivastava   +4 more
semanticscholar   +1 more source

Optical analog computing enabled broadband structured light.

Optics Letters, 2023
Mathematically, any function can be expressed as the operation form of another function. Here, the idea is introduced into an optical system to generate structured light.
Yan Wang, Qiang Yang, Yi-Chang Shou, Hailu Luo   +3 more
semanticscholar   +1 more source

Computational models of analogy

WIREs Cognitive Science, 2010
AbstractAnalogical mapping is a core process in human cognition. A number of valuable computational models of analogy have been created, capturing aspects of how people compare representations, retrieve potential analogs from memory, and learn from the results.
Dedre, Gentner, Kenneth D, Forbus
openaire   +2 more sources

Nonlocal Scatterer for Compact Wave-Based Analog Computing.

Physical Review Letters, 2022
Analog computing based on wave interactions with metamaterials has been raising significant interest as a low-energy, ultrafast platform to process large amounts of data. Engineered materials can be tailored to impart mathematical operations of choice on
Heedong Goh, A. Alú
semanticscholar   +1 more source