Results 41 to 50 of about 369,200 (324)

Evaluating Robustness to Noise and Compression of Deep Neural Networks for Keyword Spotting

IEEE Access, 2023
Keyword Spotting (KWS) has been the subject of research in recent years given the increase of embedded systems for command recognition such as Alexa, Google Home, and Siri. Performance, model size, processing time, and robustness to noise are fundamental
Pedro H. Pereira, Wesley Beccaro, Miguel A. Ramirez   +2 more
doaj   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling

Scientific Reports
Anthropogenic climate change has hastened habitat loss and fragmentation for wild animals and vegetation. However, the absence of sufficient and trustworthy information on their geographical distribution has impeded effective conservation management ...
Guiquan Song, Shufang Liu, Xijian Song, Xuelian Jiang, Shuai Gong, Wenya Hao, Ying Cui, Yueling Zhao   +7 more
doaj   +1 more source

Fourth quantization [PDF]

Physics Letters B, 2013
In this paper we will analyse the creation of the multiverse. We will first calculate the wave function for the multiverse using third quantization. Then we will fourth quantize this theory. We will show that there is no single vacuum state for this theory. Thus, we can end up with a multiverse, even after starting from a vacuum state.
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Linearization Weight Compression and In-Situ Hardware-Based Decompression for Attention-Based Neural Machine Translation

IEEE Access, 2023
As recent machine translation models are mostly based on the attention-based neural machine translation (NMT), many well-known models such as Transformer or bidirectional encoder representations from Transformers (BERT) have been proposed.
Mijin Go, Joonho Kong, Arslan Munir
doaj   +1 more source

Pentagonal 2D Altermagnets: Material Screening and Altermagnetic Tunneling Junction Device Application

Advanced Functional Materials, EarlyView.
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang, Xingyue Yang, Zongmeng Yang, Jing Lu, Pin Ho, Wenhong Wang, Yee Sin Ang, Zhenxiang Cheng, Shibo Fang   +8 more
wiley   +1 more source

Succesful renormalization of a QCD-inspired Hamiltonian

, 2003
The long standing problem of non perturbative renormalization of a gauge field theoretical Hamiltonian is addressed and explicitly carried out within an (effective) light-cone Hamiltonian approach to QCD.
Anisovich, Brodsky, Frederico, Frewer, Hans-Christian Pauli, Krautgärtner, Quantization”, Wilson, ’89   +8 more
core   +1 more source

Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks

IEEE Access
Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources.
Yongyuan Chen, Zhendao Wang
doaj   +1 more source

Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling

Remote Sensing, 2020
As satellite observation technology improves, the number of remote sensing images significantly and rapidly increases. Therefore, a growing number of studies are focusing on remote sensing image retrieval. However, having a large number of remote sensing
Xue Shan, Pingping Liu, Guixia Gou, Qiuzhan Zhou, Zhen Wang   +4 more
doaj   +1 more source