Results 141 to 150 of about 126,873 (298)
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Methods for Setting Device Specifications for Analog In‐Memory Computing Inference
Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu +3 more
wiley +1 more source
A common feature of the extended phase space of gauge theory, the crossed product of quantum theory, and quantum reference frames (QRFs) is the adjoining of degrees of freedom followed by a constraining procedure for the resulting total system.
Shadi Ali Ahmad +3 more
doaj +1 more source
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko +4 more
wiley +1 more source
Orbifold cup products and ring structures on Hochschild cohomologies
In this paper we study the Hochschild cohomology ring of convolution algebras associated to orbifolds, as well as their deformation quantizations. In the first case the ring structure is given in terms of a wedge product on twisted polyvectorfields on ...
Pflaum, M. J. +3 more
core
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
The incubation of primary astrocytes with fAuNCs‐BSA induces: (A) long‐term effects including fAuNCs‐BSA internalization, red cell fluorescence, differentiation, upregulation of Ca2+ signaling, Cl‐current, and cell volume regulation. B) Short‐term (200 ms) stimulation with UV LED light increases in Ca2+ signaling and inhibition of K+ current. Astrocyte
Roberta Fabbri +21 more
wiley +1 more source
Metasurfaces and Metadevices for Topological Electromagnetic Waves
Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie +3 more
wiley +1 more source
The 0D/1D grain boundary coupling between Fe₃O₄ quantum dots and CNTs induces extreme charge redistribution and short‐range magnetic resonance, enabling complete electromagnetic wave absorption across the entire X and Ku bands. ABSTRACT Ferrite–carbon composites effectively absorb electromagnetic (EM) waves via coupled mechanisms.
Jie Huang +9 more
wiley +1 more source
Experimental methods in chemical engineering: Atomic absorption spectrometry—AAS
Abstract Elements absorb electromagnetic radiation (light) of a specific wavelength in proportion to the number of atoms in its path. As the atoms absorb this light energy, electrons rise from the ground state to an excited state. In atomic absorption spectrometry (AAS), high temperatures produce clouds of atoms from the sample (atomization) and ...
Emily Cintia Tossi de A. Costa +4 more
wiley +1 more source

