Results 101 to 110 of about 93,163 (295)

Exploring GPU sharing techniques for edge AI smart city applications

ETRI Journal
The growing adoption of edge AI in smart city applications such as trafficmanagement, surveillance, and environmental monitoring necessitates effi-cient computational strategies to satisfy the requirements for low latency andhigh accuracy.
Sooyeon Woo, Jihwan Yeo, Jinhong Kim, Kyungwoon Lee   +3 more
doaj   +1 more source

Implementation of Zero-Shot Learning on Edge AI for Deterministic Interpretation of Electrical Metrics using Quantized Large Language Models

Sistemasi: Jurnal Sistem Informasi
Automatic interpretation of building electrical metric data is essential for assessing the reliability and suitability of electrical systems. The emergence of Large Language Models (LLMs) has created new opportunities to automate the inspection and ...
Salman Al Majali, Ganjar M Faisal, Novi Rukhviayanti   +2 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Operation analysis and parameter optimization of the conveying device for uniform crushed straw throwing and seed-sowing machines

Nano Research
Vision systems in vertebrates have evolved energy-efficient and adaptable features in hyperpolarizing photoreceptors that machine vision struggles to mimic.
Jiayi Li, Yuxi Guo, Xin Ju, Diing Shenp Ang   +3 more
doaj   +1 more source

Edge Computing and AI: Advancements in Industry 5.0- An Experimental Assessment [PDF]

BIO Web of Conferences
This empirical research evaluated, via experimentation, how Edge Computing and Artificial Intelligence (AI) work together in the context of Industry 5.0.
Dmitrieva Ekaterina, Thakur Gaurav, Kumar Prabhakar Pranav, Prakash Anshika, Vyas Anjali, Prasanna Y. Lakshmi   +5 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Feasibility Study of Edge Computing Empowered by Artificial Intelligence—A Quantitative Analysis Based on Large Models

Big Data and Cognitive Computing
The advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is ...
Yan Chen, Chaonan Wu, Runqi Sui, Jingjia Zhang   +3 more
doaj   +1 more source

Resource-Efficient Collaborative Training and Inference of Foundation Models in Edge-AI [PDF]

The convergence of Edge Artificial Intelligence (Edge-AI) and foundation models marks a transformative paradigm shift in the design of intelligent systems.
Songyuan Li (21053258)
core  

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Federated Learning-Oriented Edge Computing Framework for the IIoT

Sensors
With the maturity of artificial intelligence (AI) technology, applications of AI in edge computing will greatly promote the development of industrial technology. However, the existing studies on the edge computing framework for the Industrial Internet of
Xianhui Liu, Xianghu Dong, Ning Jia, Weidong Zhao   +3 more
doaj   +1 more source