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Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Salesforce Acquires Customer Service AI Firm Fin for $3.6 Billion Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Sensor-Conditioned Representation Learning Uses Scene-Relevant Observation Quotients to Improve Latent Geometry OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics SAGA Framework Uses Frozen MLLMs to Boost Visual Embedding Recall by 3-6 Points Lifelong Learning Framework HVSP-LL Reduces Geographic Bias in Urban Streetscape Inference by 38% Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Salesforce Acquires Customer Service AI Firm Fin for $3.6 Billion Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Sensor-Conditioned Representation Learning Uses Scene-Relevant Observation Quotients to Improve Latent Geometry OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics SAGA Framework Uses Frozen MLLMs to Boost Visual Embedding Recall by 3-6 Points Lifelong Learning Framework HVSP-LL Reduces Geographic Bias in Urban Streetscape Inference by 38%

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edge computing

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New Hardware-Aware Neural Architecture Search Runs on Embedded Devices with Under 512MB RAM

Artificial Intelligence #hardware-aware#neural architecture search

New Hardware-Aware Neural Architecture Search Runs on Embedded Devices with Under 512MB RAM

Researchers propose a hardware-aware neural architecture search (HW NAS) method that runs on embedded devices with under 512MB of RAM. It produces tiny convolutional neural networks for low-end microcontrollers, enabling on-device AI without cloud dependence. The approach achieves state-of-the-art results on the Visual Wake Word dataset.

Jun 16, 2026 1 source

Artificial Intelligence #edge intelligence#proactive warning

CogGuard: New Framework Reduces Profile Construction Time by 48% for Edge AI Warning Systems

Researchers propose CogGuard, a proactive-warning framework for edge intelligent services that decouples offline LLM-based profile construction from online SLM prediction. It reduces profile construction time by 48% and distributed fine-tuning time by 19% while achieving mean absolute errors of 13.4 and 5.9 on 100-point-scale tasks.

Jun 16, 2026 1 source

EdgeCitadel: Hybrid NATS-MQTT Orchestration Platform for Edge Multi-Agent Systems

Software #edge computing#nat

EdgeCitadel: Hybrid NATS-MQTT Orchestration Platform for Edge Multi-Agent Systems

EdgeCitadel is an edge multi-agent orchestration platform built around a single NATS 2.10 server with an MQTT adapter. It combines MQTT connectivity, JetStream-backed persistence, direct peer delegation, and a passive aggregator. A testbed spanning ARM64, x64, and Android clients demonstrates the hybrid architecture.

Jun 16, 2026 1 source