High-throughput calculations of spin Hall conductivity in non-magnetic 2D materials by Jiaqi Zhou, Samuel Poncé, Jean-Christophe Charlier

“…We discover that Y2C2I2 has an unconventional SHE with canted spin due to low crystal symmetry, Ta4Se2 is a metallic monolayer with exceptionally high SHC, and the semi-metal Y2Br2 possesses efficient charge-to-spin conversion induced by anti-crossing in bands. …”
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TreeBASIS Feature Descriptor and Its Hardware Implementation by Spencer Fowers, Alok Desai, Dah-Jye Lee, Dan Ventura, James Archibald

“…To facilitate real-time implementation, a feature region image is binary quantized and the resulting quantized vector is passed into the BASIS vocabulary tree. …”
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Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction by Mei Si, Omar Cobas, Michael Fababeir

“…Additionally, a parameter-efficient fine-tuning method is utilized using quantized low-rank adaptation (QLoRA) to facilitate fast training of the system. …”
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Key Considerations for Real-Time Object Recognition on Edge Computing Devices by Nico Surantha, Nana Sutisna

“…This review paper introduces how artificial intelligence (AI) can be integrated with edge computing to enable efficient and scalable object recognition applications. …”
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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction by Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

“…Ablation studies further verify the effectiveness and necessity of the quantum convolution circuits and quantum self-attention modules, providing an efficient and accurate approach to quantized modeling for spatiotemporal prediction tasks.…”
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Evaluating a Hybrid LLM Q-Learning/DQN Framework for Adaptive Obstacle Avoidance in Embedded Robotics by Rihem Farkh, Ghislain Oudinet, Thibaut Deleruyelle

“…A selective triggering mechanism ensures efficient LLM intervention, minimizing computational overhead. …”
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Discontinuity method for evaluating scattering amplitudes within the worldline formalism by Victor Miguel Banda Guzmán

“…As a result, a collection of worldline master integrals has been derived within this approach. However, efficient mathematical tools for evaluating these integrals remain limited. …”
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Unidirectional electric field enables reversible ferroelectric domain engineering by Xingan Jiang, Muzhi Li, Yuanyuan Cui, Xiao Wu, Zunyi Deng, Xiangping Zhang, Jianming Deng, Xiaolei Wang, Dongdong Zhang, Xiangdong Yang, Zhuoyin Peng, Zhao Liang, Xueyun Wang, Weiyou Yang

“…The present work demonstrates the efficient reversible and cyclic ferroelectric domain switching under a unipolar electric field in van der Waals ferroelectric CuInP2S6, enabled by Cu-ion migration across van der Waals gaps. …”
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EMISSION PROCESSES OF QUANTUM WELL INTERACTION WITH DELTA-LAYER IN pHEMT-HETEROSTRUCTURES by Yana V. Ivanova, George E. Yakovlev, Vasily I. Zubkov

“…The optimum distance between QW and delta-layer providing the most efficient charge carrier delivery to quantum well is found. …”
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Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud by Seoungjae Cho, Jonghyun Kim, Warda Ikram, Kyungeun Cho, Young-Sik Jeong, Kyhyun Um, Sungdae Sim

“…A sparse 3D point cloud can be acquired by scanning the geography using light detection and ranging (LiDAR) sensors. For efficient ground segmentation, 3D point clouds are quantized in units of volume pixels (voxels) and overlapping data is eliminated. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…Our objective is to further develop FFDNet into a robust, efficient, and widely applicable tool for flame detection, thereby providing significant technical support for fire prevention and response initiatives.…”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…Harmonizer employs a unified approach to convert diverse, non-linguistic signals into discrete tokens via its FusionQuantizer architecture, built on FluxFormer, to efficiently capture essential signal features while minimizing complexity. …”
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Predicting Overload Risk on Plasma-Facing Components at Wendelstein 7-X from IR Imaging Using Self-Organizing Maps by Giuliana Sias, Emanuele Corongiu, Enrico Aymerich, Barbara Cannas, Alessandra Fanni, Yu Gao, Bartłomiej Jabłoński, Marcin Jakubowski, Aleix Puig Sitjes, Fabio Pisano, W7-X Team

“…This study aims to thoroughly evaluate the capabilities of the SOM in recognizing overload risk levels, defined by quantizing the maximum criticality across different IR cameras. …”
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Real-Time Dolphin Whistle Detection on Raspberry Pi Zero 2 W with a TFLite Convolutional Neural Network by Rocco De Marco, Francesco Di Nardo, Alessandro Rongoni, Laura Screpanti, David Scaradozzi

“…This work achieved a critical balance between computational efficiency and detection fidelity (F1-score: 86.9%) by leveraging quantized, multithreaded inference. …”
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Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

“…The custom CNN model and YOLO v8 model were quantized and deployed across two (2) edge platforms: a smartphone (through a mobile application) and a Raspberry Pi 4B to facilitate in-field disease detection. …”
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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study by Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

“…Our modular framework generates individual summaries followed by an aggregated summary to answer medical queries from large amounts of user-generated social media data in an efficient manner. We compared the performance of a quantized large language model (Nous-Hermes-2-7B-DPO), deployable in low-resource settings, with GPT-4. …”
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Quasiparticle picture of topological phase transitions induced by interactions by S. S. Krishtopenko, A. V. Ikonnikov, F. Hartmann, S. Höfling, B. Jouault, F. Teppe

“…We show that topological invariants in the presence of interactions can be efficiently calculated by means of a non-Hermitian quasiparticle Hamiltonian introduced on the basis of the Green's function. …”
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Relationship Study on Land Use Spatial Distribution Structure and Energy-Related Carbon Emission Intensity in Different Land Use Types of Guangdong, China, 1996–2008 by Yi Huang, Bin Xia, Lei Yang

“…The results also indicate that land use spatial distribution structure affects carbon emission intensity more intensively than energy efficiency and production efficiency do. These conclusions provide valuable reference to develop comprehensive policies for energy conservation and carbon emission reduction in a new perspective.…”
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Secure communication approach for Internet of things based on C-RAN fronthaul compression by Yong WANG, Mu ZHOU, Zengshan TIAN, Jinjun WU

“…A resource allocation algorithm was proposed for downlink C-RAN secure communication system.This algorithm jointly optimized the parameters of base station (BS) mode,quantized noise and beamforming under the constraints of SINR requirements of Internet of things information receiver,eavesdropped receiver and fronthaul link capacity.Such a design was a non-convex optimization problem,and a step-by step optimization algorithm was proposed to decompose the original optimization problem efficiently.Semi-definite technique and function smoothing approach were adopted,and the local optimization solution of the original problem was obtained by the iterative different of convex method.Bi-section approach was further proposed to determine BS mode,and the transmitting power of the BSs were finally optimized.Simulation results indicate that the proposed joint optimization algorithm achieves better performance than group sparse optimization algorithm and baseline algorithm,and it has approximate optimal performance as the exhaustive search algorithm.…”
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Artificial Intelligence on the Identification of Beiguan Music by Yu-Hsin CHANG, Shu-Nung YAO

“…The advantages of this method include improving data processing efficiency, fast MIR, and evoking possible musical connections from the high-relation result of statistical analyses.…”
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