#Edge Computing
Latest news articles tagged with "Edge Computing". Follow the timeline of events, related topics, and entities.
Articles (9)
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🇺🇸 RAGdb: A Zero-Dependency, Embeddable Architecture for Multimodal Retrieval-Augmented Generation on the Edge
[USA]
arXiv:2602.22217v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has established itself as the standard paradigm for grounding Large Language Models (LLMs) in domain-specific, u...
Related: #AI Architecture, #Privacy-Preserving Technology -
🇺🇸 GRAU: Generic Reconfigurable Activation Unit Design for Neural Network Hardware Accelerators
[USA]
arXiv:2602.22352v1 Announce Type: cross Abstract: With the continuous growth of neural network scales, low-precision quantization is widely used in edge accelerators. Classic multi-threshold activati...
Related: #Hardware Architecture, #Artificial Intelligence -
🇺🇸 Node Learning: A Framework for Adaptive, Decentralised and Collaborative Network Edge AI
[USA]
arXiv:2602.16814v1 Announce Type: new Abstract: The expansion of AI toward the edge increasingly exposes the cost and fragility of cen- tralised intelligence. Data transmission, latency, energy consu...
Related: #Decentralization, #Artificial Intelligence -
🇺🇸 Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks
[USA]
arXiv:2602.07215v1 Announce Type: cross Abstract: Generative AI (GenAI) has transformed applications in natural language processing and content creation, yet centralized inference remains hindered by...
Related: #Artificial Intelligence, #Network Infrastructure -
🇺🇸 PTS-SNN: A Prompt-Tuned Temporal Shift Spiking Neural Networks for Efficient Speech Emotion Recognition
[USA]
arXiv:2602.08240v1 Announce Type: new Abstract: Speech Emotion Recognition (SER) is widely deployed in Human-Computer Interaction, yet the high computational cost of conventional models hinders their...
Related: #Artificial Intelligence, #Neuromorphic Engineering -
🇺🇸 LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge
[USA]
arXiv:2602.07849v1 Announce Type: new Abstract: Deploying Vision-Language Models (VLMs) on edge devices is challenged by resource constraints and performance degradation under distribution shifts. Wh...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents
[USA]
arXiv:2602.06485v1 Announce Type: new Abstract: While Large Language Model (LLM)-based agents have shown remarkable potential for solving complex tasks, existing systems remain heavily reliant on lar...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 HQP: Sensitivity-Aware Hybrid Quantization and Pruning for Ultra-Low-Latency Edge AI Inference
[USA]
arXiv:2602.06069v1 Announce Type: cross Abstract: The escalating demand for high-fidelity, real-time inference in distributed edge-cloud environments necessitates aggressive model optimization to cou...
Related: #Artificial Intelligence, #Model Optimization -
🇺🇸 Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
[USA]
arXiv:2501.15802v2 Announce Type: replace-cross Abstract: In the Cloud-Edge Continuum, dynamic infrastructure change and variable workloads complicate efficient resource management. Centralized metho...
Related: #Artificial Intelligence, #Cloud Computing