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{
"id": "50f84650-372b-4129-8145-36dfccbb1323",
"kind": "sos",
"name": "\"A.I.\" done right: \"Tsetlin Machine\" (TM) from Norway: Transparent, efficient, FOSS Machine Learning!",
"slug": "ai-done-right-lets-brainstorm-use-cases-for-the-ts",
"url": "https://api.events.ccc.de/congress/2025/event/50f84650-372b-4129-8145-36dfccbb1323/?format=api",
"track": null,
"assembly": "sos",
"room": null,
"location": "3. Floor between Hall Zero and Wine Bar, on the sitting blocks!!!!",
"language": "en, de",
"description": "### Language & Location: \r\n* Something went wrong with location booking: For now, we could meet on the blocks **in front of Hall Zero, near \"Wine Bar\", \"Level 3\".**\r\nProbably English to reach everyone. I am fluent in German & English.\r\n\r\n### What & why:\r\n* \"CCC Media\" leads to 0 search entries for \"TM - Tsetlin Machine\", tho highly relevant for ethical A.I., embedded, FOSS & much more! \r\n* Based on simple propositional logic (Boolean), very efficient & transparent, FOSS! \r\n* Runs \"In memory\" mostly! And in just kB to MB of RAM, many use cases!\r\n\r\n* I could give a short introduction, but mainly want to raise awareness on its enormous potential. \r\n* To try it & deploy it yourself, search Github; and ask A.I. for: \"weighted TM\", \"sparse TM\", \"fuzzy-pattern TM\", ...\r\n* Most complete starting point: \r\nhttps://github.com/cair/tmu\r\n\r\n### Some Use Cases among many more: \r\n* Transparent on-device IoT security \r\n* Acceleration (of all sorts) \r\n* Linux real-time security in general?? \r\n* soon: Scalability into GB of RAM as well! \r\n* Autonomous systems\r\n* Funny \"in RAM\" Demos.... \r\n\r\n### Newest model \"graph TM\" with long explanation, only for geniuses: \r\nhttps://arxiv.org/html/2507.14874v1\r\n\r\n### Contact on my profile, @FoxinSocks",
"schedule_start": "2025-12-27T11:11:00+01:00",
"schedule_duration": "00:50:00",
"schedule_end": "2025-12-27T12:01:00+01:00"
}