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Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser

James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical a…

Web Browser QCon London 2026 Privacy Edge Computing GPU AI Security Cloud Computing Web Development Transcripts Local Inference Machine Learning Development Architecture & Design AI, ML & Data Engineering presentation

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Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. I…

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