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X-WR-CALDESC:Events for Huntsville AI
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DTSTART:20260308T080000
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DTSTART:20261101T070000
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DTSTART;TZID=America/Chicago:20260617T180000
DTEND;TZID=America/Chicago:20260617T200000
DTSTAMP:20260613T080309
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SUMMARY:Virtual Paper Review - AI Agents\, Graphs\, and Tabletop Worlds
DESCRIPTION:Google Meet – https://meet.google.com/yie-fbgk-juj \n\n\n\n\n\n\n\n\n\nWhat would it take for an AI to be a useful assistant for a large tabletop campaign simulation? Not just a chatbot that vaguely remembers lore\, but a system that knows which NPCs know which secrets\, which factions are connected\, which rumors came from which source pages\, and which claims can actually be checked. That is our entry point for this month’s Virtual Paper Review. We will use a live tabletop campaign-world demo to introduce graph databases\, ontologies\, and evidence graphs\, then connect those ideas to three recent papers on graph-backed AI agents. \nPart I – Primer & Foundations \n\nWhat graph databases are and why connected data matters\nWhat an ontology is and why it is more than a schema diagram\nHow graph retrieval differs from normal RAG over text chunks\nHow evidence paths let an agent show its work instead of just citing something\n\nPart II – Papers & Demo \n\nSCOUT-RAG: agents walking graph neighborhoods for retrieval\nWhy Neighborhoods Matter: the difference between what an agent visited and what it cited\nSHARP: checking graph claims against schema and source-grounded evidence\nLive demo: Tabletop World Simulation\n\nLinks: \n\nSCOUT-RAG: https://arxiv.org/pdf/2602.08400\nWhy Neighborhoods Matter: https://arxiv.org/pdf/2605.15109\nSHARP: https://arxiv.org/pdf/2604.04190
URL:https://hsv.ai/event/virtual-paper-review-ai-agents-graphs-and-tabletop-worlds/
LOCATION:AL
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DTSTART;TZID=America/Chicago:20260624T180000
DTEND;TZID=America/Chicago:20260624T193000
DTSTAMP:20260613T080309
CREATED:20260608T011703Z
LAST-MODIFIED:20260608T011703Z
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SUMMARY:Democratizing Health Data: Digital Signal Processing of PPG Signal
DESCRIPTION:A deep dive into the engineering and life-saving potential of open-source Photoplethysmography (PPG) technology. This presentation explores how custom edge devices and applied machine learning can decode cardiovascular signals to prevent driver impairment\, track pilot perfusion\, and ultimately democratize health data for patients.
URL:https://hsv.ai/event/democratizing-health-data-digital-signal-processing-of-ppg-signal/
LOCATION:Deloitte\, 3414 Governors Dr SW STE 220\, Huntsville\, AL\, 35805
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