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Latest Publications & Patents on Edge Computing

Edge Computing

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Edge computing
Edge computing enhances real-time data processing and analytics by decentralizing computation closer to data sources.

Edge Computing decentralizes data processing by relocating computation and storage closer to data sources, minimizing latency and bandwidth usage in distributed networks. It integrates edge nodes, micro data centers, and gateways to support real-time analytics, IoT applications, and AI inference at the network periphery. Architectural considerations include resource management, orchestration, virtualization, and security within heterogeneous edge environments. Our compilation below presents recent publications and patents detailing innovations in edge infrastructure design, protocol development, workload optimization, and scalable deployment strategies advancing the capabilities and adoption of edge computing systems.

This is our latest selection of worldwide publications and patents in english on Edge Computing, between many scientific online journals, classified and focused on edge computing, fog computing, edge node, latency reduction, distributed computing, edge analytic, IoT edge, edge AI, edge data center, micro data center, edge orchestration, edge security, edge network, real-time processing, edge device, edge infrastructure, edge cloud, data localization, edge caching, edge gateway, edge resource management, edge virtualization and edge workload.

Unified iot edge framework for lifecycle management of artificial intelligence solutions across multiple iot edge devices

Patent published on the 2026-05-21 in US under Ref US20260141312 by ZEDEDA INC [US] (Pitchai Pandi Chandran [in], Sankaran Hariharasubramanian Cinthamani [us])

Abstract: A computer-implemented method may be used to implement artificial intelligence (AI) over an Internet of Things (IoT) Edge Network. The method may include, at one or more storage devices, storing an AI model. The method may further include, at one or more hardware processing devices, using the AI model to develop an AI Edge Solution suitable for achieving a business purpose through the IoT Edge Network. The method may further include, at one or more communication devices, deploying the AI Edge So[...]


Our summary: This framework manages AI solutions across multiple IoT edge devices. It stores AI models on storage devices and processes them on hardware devices. The AI Edge Solution is deployed to various Edge Computing Devices within the IoT Edge Network.

IoT Edge, AI Solutions, Lifecycle Management, Edge Computing

Patent

Adaptive hyperdimensional computing for noise-resilient on-device time series forecasting

Patent published on the 2026-05-21 in US under Ref US20260141286 by UNIV CALIFORNIA [US] (Moreno Ivannia Gomez [us], Yu Xiaofan [us], Rosing Tajana Simunic [us])

Abstract: [0000] Some inventive concepts described herein relate to an Adaptive Hyperdimensional Forecasting System that provides a robust and lightweight solution for on-device time series forecasting by integrating Hyperdimensional Computing with a Kalman Filter. The system can combine the resilience of the Kalman Filter to sensor noise with the computational efficiency of HDC, making it highly suitable for edge deployment. The system can encode historical data into high-dimensional hypervectors and app[...]


Our summary: The Adaptive Hyperdimensional Forecasting System integrates Hyperdimensional Computing with a Kalman Filter for noise-resilient time series forecasting. It encodes historical data into high-dimensional hypervectors and uses an iterative Kalman process for weight estimation. This lightweight solution is optimized for edge devices, ensuring efficient and accurate real-time forecasts in resource-constrained environments.

Adaptive Hyperdimensional Computing, Time Series Forecasting, Kalman Filter, Edge Deployment

Patent

Multi-tenant distributed computing system and computer-implemented method for adaptive quality management in artificial intelligence (ai) processing

Patent published on the 2026-05-07 in WO under Ref WO2026094029 by ODEH IHAB [AE] (Odeh Ihab [ae], Al Shraiedeh Mahmoud [jo])

Abstract: The present invention provides a computer system and a computer-implemented method for adaptive quality management in artificial intelligence (AI) processing. The system comprises a memory unit storing machine-readable instructions and a processor configured to execute the instructions to store, in a persistent correction memory, records of prior corrections to AI outputs; retrieve a correction for a current input based on similarity between the input and stored records; generate, by an audit-tr[...]


Our summary: The invention describes a system for adaptive quality management in AI processing. It uses a persistent correction memory to store prior corrections and retrieve relevant adjustments for current inputs. The system optimizes AI workloads and updates parameters based on effectiveness, enhancing error reduction and auditability.

multi-tenant, distributed computing, adaptive quality management, artificial intelligence

Patent

Reusing programming environments in a distributed computing environment

Patent published on the 2026-05-07 in US under Ref US20260126968 by PALANTIR TECHNOLOGIES INC [US] (Correia JoÃo [gb], Lafleche Jonathan [gb], Raschkowski Willi [gb], Ayad John [gb])

Abstract: [0000] A system and related methods for creating a new programming environment from existing programming environments is disclosed. The system is programmed to retrieve relocatable packages of existing programming environments for a programming language from a remote repository and locally set up the existing programming environments as components of a new programming environment for the programming language. The system is programmed to further adjust an environment variable for the programming [...]


Our summary: The system creates new programming environments by reusing existing ones. It retrieves relocatable packages from a remote repository and sets them up locally. Symbolic links are used to manage library versions and facilitate updates.

programming environments, distributed computing, relocatable packages, symbolic links

Patent

Enhanced caching operations based on a coherency metric

Patent published on the 2026-04-23 in US under Ref US20260111394 by NETAPP INC [US] (Phatak Shirish [us], Kovvuri Vaishnav Kumar [us], Nair Sunil Sadashivan [in])

Abstract: A global policy-driven framework for managing, revising, and implementing data coherency policies in a distributed data storage system. An edge node of the distributed data storage system receives a request from an application to store a data object in the system. The edge node, in response to receiving the request to store the data object, generates a coherency policy request, which is then submitted to the primary node of the system. The primary node of the system generates a coherency policy [...]


Our summary: The content describes a framework for managing data coherency in distributed storage systems. An edge node generates a coherency policy request upon receiving a storage request. The primary node responds with a coherency policy, allowing the edge node to store the data object accordingly.

caching, coherency, distributed systems, data management

Patent

System, edge device, and control method thereof

Patent published on the 2026-04-23 in US under Ref US20260111770 by CANON KK [JP] (Kitagata Kei [jp])

Abstract: One or more systems, edge devices, control methods, and storage mediums are provided herein. In a case where query data is input from an operation unit of a client terminal or a first edge device, a determining unit of the first edge device determines which of a reasoning unit of the first edge device, a second device, and a first application service should perform a reasoning process on the query data. In a case where it is determined that the second device should perform the reasoning process,[...]


Our summary: The content describes a system involving edge devices and control methods for processing query data. A determining unit decides where the reasoning process should occur among available devices. If the second device is chosen, query data is transmitted directly to it, bypassing the first application service.

edge device, control method, reasoning process, query data

Patent

Adaptive Multi-Camera Fusion and Calibration for Large-Scale Multi-Vehicle Cooperative Simulation Scenarios

Published on 2026-02-03 by Hui Zhang, Chenyu Xia, Huantao Zeng @MDPI

Abstract: In the development of multi-vehicle cooperative hardware-in-the-loop (HIL) simulation platforms based on machine vision, accurate vehicle pose estimation is crucial for achieving efficient cooperative control. However, monocular vision systems inevitably suffer from limited fields of view and insufficient image resolution during target detection, making it difficult to meet the requirements of large-scale, multi-target real-time perception. To address these challenges, this paper proposes an eng[...]


Our summary: This paper presents a multi-camera cooperative vision detection method for large-scale vehicle simulations. It enhances vehicle pose estimation by projecting images onto a unified plane and optimizing image stitching. Experimental results show high accuracy and real-time performance, achieving a 93.41% identification rate and 30 frames per second output.

Multi-Camera Fusion, Vehicle Pose Estimation, Real-Time Processing, Image Mosaicking

Publication

A Lightweight Wheat and Corn Recognition Model Integrating Multiple Attention Mechanisms

Published on 2026-02-03 by Hao Yao, Ji Zhu, Yancang Li, Haiming Yan, Wenzhao Feng, Luwang Niu, Ziqi Wu @MDPI

Abstract: This study is grounded in the macro-context of smart agriculture and global food security. Due to population growth and climate change, precise and efficient monitoring of crop distribution and growth is vital for stable production and optimal resource use. Remote sensing combined with deep learning enables multi-scale agricultural monitoring from field identification to disease diagnosis. However, current models face three deployment bottlenecks: high complexity hinders operation on edge device[...]


Our summary: This study presents MAF-RecNet, a lightweight model for crop recognition that integrates multiple attention mechanisms to enhance efficiency and generalization with limited data. It addresses deployment challenges in smart agriculture by optimizing structure and improving feature discrimination. The model demonstrates high accuracy and strong cross-task generalization, contributing to the practical application of AI in precision agriculture.

Crop Recognition, Attention Mechanisms, Deep Learning, Smart Agriculture

Publication

Topics covered: Edge Computing, real-time data processing, analytics, decentralized computation, data sources, latency, bandwidth usage, distributed networks, edge nodes, micro data centers, IoT applications, AI inference, resource management, orchestration, virtualization, security, scalable deployment strategies, infrastructure design, protocol development ISO/IEC 30141, IEEE 1934, ETSI GS MEC 003, NIST SP 800-183, and ITU-T Y3502..

Glossary of Terms Used

Internet of Things (IoT): a network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet, facilitating automation, monitoring, and control of various processes and systems.

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