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In leu of current events - the first thing that crossed my mind is what the CCP will do with this technology. But it's good to see more real world application
by nonameking2026 4y ago
In leu of current events - the first thing that crossed my mind is what the CCP will do with this technology.
But it's good to see more real world application of machine learning - feels like the distance from research to application is very slow.
"Machine learning radiology" is something I used to monitor as a sign of improvement - since it's a "simple" use case. Too "busy" to google about now - any news on this ?
- VHRanger 4y agoIt's just a more efficient way to do a form of graph matching[1] on a dynamic graph (one that evolves over time). There wasn't really a pure closed form mathematic solution to the problem like we can on static graphs (Gale-Shapely algorithm for one). You find papers like this one [2] with heavy math and some sort of proposed solution. So this type of problem is a really a good fit for machine learning to propose solutions. 1. https://en.wikipedia.org/wiki/Graph_matching https://en.wikipedia.org/wiki/Graph_matching 2. https://www.semanticscholar.org/paper/Thickness-and-Information-in-Dynamic-Matching-Akbarpour-Li/9de8f77c5d2c31988efac77f1bd29ddd6ddd0cfc https://www.semanticscholar.org/paper/Thickness-and-Informat...
- nonameking2026 4y agoFor more context: https://en.wikipedia.org/wiki/Organ_harvesting_from_Falun_Gong_practitioners_in_China#Discrepancy_in_known_sources_of_organs https://en.wikipedia.org/wiki/Organ_harvesting_from_Falun_Go...