Results 61 to 70 of about 4,738,555 (278)
TFHE Gets Real: an Efficient and Flexible Homomorphic Floating-Point Arithmetic
Transactions on Cryptographic Hardware and Embedded SystemsFloating-point arithmetic plays a central role in computer science and is used in various domains where precision and computational scale are essential.
Loris Bergerat +4 more
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A Latency-Effective Pipelined Divider for Double-Precision Floating-Point Numbers
IEEE Access, 2020 In this article, we propose an effective algorithm of pipelined dividers for double-precision floating-point numbers. This reduces the latency of the previous pipelined dividers without increasing the lookup table size. The experimental results show that
Juwon Yun +4 more
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Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Hybrid control approach for fast switching MMCs
The Journal of Engineering, 2019 This study presents a new hybrid control approach for different control and switching frequencies for converters of the modular multi-level converter (MMC) family.
Mathias Schnarrenberger +2 more
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Surrogate‐Optimized Flow‐Guided Miniature Condenser for Rapid Exhaled Glucose Detection
Advanced Materials Technologies, EarlyView.A surrogate‐optimized miniature condenser guides humid exhaled flow toward cold surfaces to accelerate exhaled breath condensate collection. By improving vapor access within a compact footprint, the design increases sample yield. This enables post‐collection enrichment and rapid colorimetric glucose detection from dilute exhaled biomarkers within a 5 ...
Yiming Thomas Lu +6 more
wiley +1 more source
Multiple-Input Floating-Point Adders: A Comprehensive Review
IEEE AccessFloating-point addition is pivotal in various computational applications, including scientific computing, machine learning, and graphics processing. Traditional two-input floating-point adders (FPADD2) are widely used but become bottlenecks in scenarios ...
Sami Ul Haq +2 more
doaj +1 more source
FPGA Implementations of Feed Forward Neural Network by using Floating Point Hardware Accelerators
Advances in Electrical and Electronic Engineering, 2014 This paper documents the research towards the analysis of different solutions to implement a Neural Network architecture on a FPGA design by using floating point accelerators.
Gabriele-Maria Lozito +3 more
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Advanced Optical Materials, EarlyView.Comparing Fabry–Perot and plasmonic nanorod cavities reveals how the number of dark states dictates polariton relaxation. The high number of dark states results in a polaritonic bottleneck, while reducing the number of dark states enables to measure the polaritonic decay.
Nicola Peruffo +5 more
wiley +1 more source
Masking FALCON’s Floating-Point Multiplication in Hardware
Transactions on Cryptographic Hardware and Embedded SystemsFloating-point arithmetic is a cornerstone in a wide array of computational domains, and it recently became a building block for the FALCON post-quantum digital signature algorithm.
Emre Karabulut, Aydin Aysu
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On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source