Results 61 to 70 of about 4,893,936 (283)
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
TFHE Gets Real: an Efficient and Flexible Homomorphic Floating-Point Arithmetic
Floating-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
doaj +1 more source
Increasing Lipid Nanoparticle mRNA Copy Number Improves Transfection Potency
As lipid nanoparticle (LNP) systems are the leading platform for in vivo nucleic acid delivery, improving transfection potency of these systems is of considerable interest. In this work, we explored a post‐mixing formulation method involving a two‐step buffer exchange that increased the number of mRNA copies within each LNP while reducing the number of
Yao Zhang +12 more
wiley +1 more source
Hybrid control approach for fast switching MMCs
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
doaj +1 more source
Stepwise dual‐side functionalization creates covalent Janus graphene with chemically and electrostatically asymmetric interfaces. The resulting nonadditive surface‐potential response and pronounced charge‐transport modulation demonstrate a versatile route for tailoring the electronic properties of graphene.
Shishi Liu +14 more
wiley +1 more source
Multiple-Input Floating-Point Adders: A Comprehensive Review
Floating-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
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
doaj +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Masking FALCON’s Floating-Point Multiplication in Hardware
Floating-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
doaj +1 more source
Implementing decimal floating-point arithmetic through binary: some suggestions [PDF]
International audienceWe propose several algorithms and provide some related results that make it possible to implement decimal floating-point arithmetic on a processor that does not have decimal operators, using the available binary floating-point ...
Martin-Dorel, Érik +11 more
core +1 more source

