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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:20260401T173000
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SUMMARY:Spring Social
DESCRIPTION:Good evening! \nIt’s time for our Spring Social! The forecast looks like rain\, so we’re going to get together at Back Forty Beer Company. There’s a lot of room inside\, and they also have good food.
URL:https://hsv.ai/event/2026-spring-social/
LOCATION:Back Forty Beer Company\, 3254 Leeman Ferry Rd SW\, Huntsville\, AL\, 35801\, United States
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/10/Social.png
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DTSTART;TZID=America/Chicago:20260415T180000
DTEND;TZID=America/Chicago:20260415T193000
DTSTAMP:20260421T084145
CREATED:20260330T165640Z
LAST-MODIFIED:20260411T130826Z
UID:2176-1776276000-1776281400@hsv.ai
SUMMARY:Virtual Paper Review - Gemma 4 & TurboQuant: Fitting New Models on Your Hardware
DESCRIPTION:Join us virtually this Wednesday at 6 pm to continue our monthly Paper Review series! Google released the Gemma 4 model family and TurboQuant KV cache compression about a week apart. We’ll look at what’s actually new in the architecture\, how TurboQuant holds up against its claims\, and walk through fitting these models across different hardware. \nPart I – Foundations \n\nKV cache: what it is and why it’s the bottleneck for long contexts\nPer-Layer Embeddings: why half the parameters “don’t count”\nSliding window + global attention and the 5:1 hybrid layer approach\nQuantization tradeoffs from fp16 down to sub-4-bit\n\nPart II – Deep Dive \n\nGemma 4 architecture: what matters for local deployment\nTurboQuant: the algorithm\, the claims\, and what implementations show\nLive experiments across RTX PRO 6000 Blackwell\, RTX 5090\, A6000 Ampere\, Mac M3 Pro\nFine-tuning with Unsloth/TRL on local hardware\n\nLinks: \nGemma 4 Model Card: https://ai.google.dev/gemma/docs/core/model_card_4 \nGemma 4 HF Blog: https://huggingface.co/blog/gemma4 \nTurboQuant Paper: https://arxiv.org/abs/2504.19874 \nDetails: \n\nDate – 04/15/2026\nTime – 6:00 – 7:30 pm\nGoogle Meet – https://meet.google.com/acw-zrnm-akn
URL:https://hsv.ai/event/virtual-paper-review-260415/
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2026/03/KV_Cache_Robot_202604101035.png
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DTSTART;TZID=America/Chicago:20260422T180000
DTEND;TZID=America/Chicago:20260422T193000
DTSTAMP:20260421T084145
CREATED:20260330T165444Z
LAST-MODIFIED:20260420T163809Z
UID:2174-1776880800-1776886200@hsv.ai
SUMMARY:NVIDIA GTC and Hackathon Approach
DESCRIPTION:This week we have Tom Plunkett reviewing his recent experience at the NVIDIA GPU Technology Conference and winning the associated hackathon. We will be in the Executive Conference Room this week. \nHere’s the breakdown of what Tom plans to cover: \n\nWhat I saw at the NVIDIA GTC conference in San Jose March 16-19.\nCompeting and Winning the GTC Hack to Create Hackathon with vibe coding\, DGX GB10\, OpenClaw\, and other technologies.\nCreating a first draft of a patent application using Gemini Pro 3.1 Preview and other AI technologies.\nA high level examination of Databricks AI/ML Strategy\n\n\nPrevious Meetups: \nI finally got the recordings posted from our last two meetups: \n\nGemma-4 and TurboQuant – https://hsv.ai/2026/04/15/gemma-4-turboquant/\nAlphaFold 3 – https://hsv.ai/2026/03/25/alphafold-3/\n\nI didn’t get the video started for AlphaFold at the very beginning\, so it picks up about 5 minutes into the presentation from Alexa.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLinks: \n\nhttps://www.nvidia.com/gtc/ – many of the sessions are available to watch\n\nDetails: \n\nDate – 04/22/2026\nTime – 6:00 – 7:30 pm\nLocation – HudsonAlpha – Executive Conference Room\nAddress – 601 Genome Way Northwest\, Huntsville\, AL 35806\nGoogle Meet – https://meet.google.com/gsv-zhtr-yah
URL:https://hsv.ai/event/nvidia-gtc-and-hackathon-approach/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2026/03/Gemini_Generated_Image_b7fm0sb7fm0sb7fm.png
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