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   Articles with "edge devices" as a keyword



Efficient GPT-4V level multimodal large language model for deployment on edge devices

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recommendations! Published in 2025 at "Nature Communications"

DOI: 10.1038/s41467-025-61040-5

Abstract: Multimodal large language models have revolutionized AI research and industry, paving the way toward the next milestone. However, their large sizes and high computational costs restrict deployment to cloud servers, limiting use in mobile, offline,… read more here.

Keywords: large language; edge devices; language; model ... See more keywords

SALC-Net: an efficient and accurate green citrus detection model for edge devices

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae1aa2

Abstract: In complex orchard environments, rapid and accurate detection of green tangerines is crucial for intelligent thinning and harvesting. However, factors such as branch and leaf occlusion, lighting variation, low contrast, and multi-scale targets severely affect… read more here.

Keywords: detection; green citrus; salc net; edge devices ... See more keywords

Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3189776

Abstract: In recent years, the need for the efficient deployment of Neural Networks (NN) on edge devices has been steadily increasing. However, the high computational demand required for Machine Learning (ML) inference on tiny microcontroller-based IoT… read more here.

Keywords: custom hardware; edge devices; hardware; accelerator ... See more keywords

Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3214214

Abstract: Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and… read more here.

Keywords: edge devices; face; detection; anatomy ... See more keywords

StitchNet: Distributed On-Device Model Partitioning Over Edge Devices Under Volatile Wireless Links

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3215083

Abstract: Distributed deep learning architecture can achieve scalable learning and inference capability at resource-constrained edge devices. Although the parallelization-based approaches have actively been investigated in the edge computing context, they are not designed for the devices… read more here.

Keywords: edge devices; stitchnet; volatile wireless; model ... See more keywords

PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3223997

Abstract: With the rapid development of Industrial Internet of Things (IIoT) technology, video surveillance devices and video data in IIoT environments are massively growing and increasingly important. Deploying rapidly evolving deep learning-based object detection algorithms in… read more here.

Keywords: edge devices; industrial internet; detection; object detection ... See more keywords

Research on Pet Recognition Algorithm With Dual Attention GhostNet-SSD and Edge Devices

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3228808

Abstract: The ability to identify pets via smart home technology is crucial for managing pet health. However, the present popular object detection method model is too large, support for edge devices is insufficient, and performance is… read more here.

Keywords: network; ghostnet; edge devices; detection ... See more keywords

Performance Analysis of Container Technologies for Computer Vision Applications on Edge Devices

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3376570

Abstract: In the dynamic realm of technology, various container technologies offer efficient deployment and resource utilization in edge devices. However, limited research has explored how various container technologies perform in specific domains. In response, this paper… read more here.

Keywords: container technologies; vision applications; edge devices; computer vision ... See more keywords

Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3446876

Abstract: In its dynamic evolution, the Internet of Things (IoT) has become increasingly pervasive in our daily lives, ranging from domestic appliances to industrial robots. This integration brings together people, processes, data, and devices, prompting new… read more here.

Keywords: semantics; edge; systematic literature; edge devices ... See more keywords

Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3581973

Abstract: Accurate wind speed prediction (WSP) remains essential for optimizing energy management in small-scale domestic windmills. Server-dependent machine learning models, commonly deployed in wind farms, prove infeasible for domestic systems due to high costs and energy… read more here.

Keywords: memory; edge devices; wind speed; speed prediction ... See more keywords

A Multiplier-less Convolutional Neural Network Inference Accelerator for Intelligent Edge Devices

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recommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2021.3116044

Abstract: As the demand for neural network operations on edge devices increases, energy-efficient neural network inference solutions become necessary. To this end, this paper proposes a compact 4-bit number format (SD4) for neural network weights. In… read more here.

Keywords: network; multiplier less; neural network; edge devices ... See more keywords