Results 41 to 50 of about 379,828 (307)

Quantization Framework for Fast Spiking Neural Networks

Frontiers in Neuroscience, 2022
Compared with artificial neural networks (ANNs), spiking neural networks (SNNs) offer additional temporal dynamics with the compromise of lower information transmission rates through the use of spikes.
Chen Li, Lei Ma, Lei Ma, Steve Furber
doaj   +1 more source

Versatile Selective Soldering via Molten Metal Printing for Heat‐Sensitive 3D Electronics and Smart Wearables

Advanced Functional Materials, EarlyView.
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger, Peter Koltay, Roland Zengerle, Sabrina Kartmann, Zhe Shu   +4 more
wiley   +1 more source

Deformation Quantization of Bosonic Strings

, 2000
Deformation quantization of bosonic strings is considered. We show that the light-cone gauge is the most convenient classical description to perform the quantization of bosonic strings in the deformation quantization formalism.
Antonsen F, Antonsen F, Batalin I A, Bayen F, Bayen F, Berestetskii V B, Birrell N D, Cariñena J F, Connes A, Connes A, Crnkovic C, Crnkovic C, Curtright T, Dito J, Dito J, F J Turrubiates, Fedosov B, Ferrara S, Gadella M, García-Compeán H, Green M B, Greene B, H García-Compeán, Hatfield B, Isham C J, J F Plebanski, Kontsevich M, Lüst D, M Przanowski, Moyal J E, Plebanski J F, Polchinski J, Schomerus V, Seiberg N, Seiberg N, Stratonovich R L, Tatarskii W I, Terashima S, Vafa C, Weyl H, Witten E, Witten E, Yau S T, Yau S T   +43 more
core   +1 more source

Advances in Pruning and Quantization for Natural Language Processing

IEEE Access
With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the determination of efficient and compact models in resource ...
Ummara Bibi, Mahrukh Mazhar, Dilshad Sabir, Muhammad Fasih Uddin Butt, Ali Hassan, Mustansar Ali Ghazanfar, Arshad Ali Khan, Wadood Abdul   +7 more
doaj   +1 more source

Channel Impulse Response Multilevel Quantization for Power Line Communications

IEEE Access, 2022
Physical layer security (PLS) has become a popular topic in the research community as a complement to traditional security schemes. Particularly, by taking advantage of the channel’s symmetry, a robust ecosystem of security applications has ...
Javier Hernandez Fernandez, Aymen Omri, Roberto Di Pietro   +2 more
doaj   +1 more source

Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy

Advanced Functional Materials, EarlyView.
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan, Alban Morelle, Michele Masseroni, Shelly Ben‐David, Sara Martí‐Sánchez, Victor Boureau, Alok Rudra, Thomas Ihn, Jordi Arbiol, W. Craig Carter, Klaus Ensslin, Anna Fontcuberta i Morral   +11 more
wiley   +1 more source

A Novel Watermarking Method using Hadamard Matrix Quantization

Journal of ICT Research and Applications, 2020
One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is ...
Prajanto Wahyu Adi, Pramudi Arsiwi
doaj   +1 more source

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

Advanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho, Jeongsu Pyeon, Hanhwi Jang, Gwangsik Mun, Jaimin Kang, Byong‐Guk Park, Geon Yeong Kim, Hyoungsoo Kim, Yeon Sik Jung   +8 more
wiley   +1 more source

Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer [PDF]

arXiv, 2020
We propose a nonuniform quantized decoder for polar codes. The design metric of the quantizers is to minimize the distortion incurred by quantization. The quantizers are obtained via dynamic programming and the optimality of the quantizer is proved as well.
arxiv  

PTQ-SL: Exploring the Sub-layerwise Post-training Quantization [PDF]

arXiv, 2021
Network quantization is a powerful technique to compress convolutional neural networks. The quantization granularity determines how to share the scaling factors in weights, which affects the performance of network quantization. Most existing approaches share the scaling factors layerwisely or channelwisely for quantization of convolutional layers ...
arxiv