Results 111 to 120 of about 8,004 (293)

Quantized reduction as a tensor product [PDF]

open access: yes, 2001
Symplectic reduction is reinterpreted as the composition of arrows in the category of integrable Poisson manifolds, whose arrows are isomorphism classes of dual pairs, with symplectic groupoids as units. Morita equivalence of Poisson manifolds amounts to isomorphism of objects in this category. This description paves the way for the quantization of the
openaire   +3 more sources

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

open access: yesAdvanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng   +11 more
wiley   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

Quantization for compact neural passage re-ranking

open access: yes
Passage re-ranking is a fundamental problem in information retrieval, which deals with reordering a small set of passages based on their relevancy to a query.
Lupău, Cătălin (author)
core  

Bilinear optimized product quantization for scalable visual content analysis

open access: yes, 2017
Product quantization (PQ) has been recognized as a useful technique to encode visual feature vectors into compact codes to reduce both the storage and computation cost.
Yu, L   +17 more
core   +1 more source

Using a deep learning method to establish 500 m resolution non-saturation nighttime light time series from 1992 to 2022

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Nighttime light data has been widely used in socioeconomic research and in studies related to light pollution. The most commonly used nighttime light global datasets include the Defense Meteorological Satellite Program Operational Linescan System (DMSP ...
Wei Guo   +10 more
doaj   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

open access: yesAdvanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende   +4 more
wiley   +1 more source

Quantization and Quantization Sensitivity of Soft-Output Product Codes for Fast-Speed Applications

open access: yes, 2004
This paper investigates two quantization schemes on three soft-output message-passing decoding algorithms for 2dimensional product codes.Quantization sensitivity on code rates and channel conditions is also investigated.
Ruiyuan Hu   +2 more
core  

A mobile edge computing-focused transferable sensitive data identification method based on product quantization

open access: yesJournal of Cloud Computing: Advances, Systems and Applications
Sensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the industrial internet, including its interconnectivity across various sectors like the electric power industry ...
Xinjian Zhao   +4 more
doaj   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

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