This is great! Very cool and it worked when I tried it. Is it foss?
TropicalDingdong
joined 1 year ago
I just.. I could never comprehend twitter (or Mastadon, or bluesky for that matter).
The whole structure of the conversation feel like people shouting into an open auditorium. And everyone is shouting at once.
I just do not see the appeal.
Almost guarantee they are Westside.
I like how when you put the two candidates into 8th grade level language, the differences become so stark. There really isn't room for additional interpretation.
Also, I'm not surprised its Kapolei parents getting outraged at this, things get fairly red once you get out of Honolulu and especially as you get onto the West Side. You'll see a Trump flag being towed along side a Kanaka Maoli flag, a back the blue flag, AND a Hawaiian kingdom flag. I'm glad to see the DOE not budging on this.
Turns out land is still cheap and sunlight still generally free.
tits out for harambe
"It's crucial..."
I've done several AI/ ML projects at nation/ state/ landscape scale. I work mostly on issues that can be solved or at least, goals that can be worked towards using computer vision questions, but I also do all kinds of other ml stuff.
So one example is a project I did for this group: https://www.swfwmd.state.fl.us/resources/data-maps
Southwest Florida water management district (aka "Swiftmud"). They had been doing manual updates to a land-cover/ land use map, and wanted something more consistent, automated, and faster. Several thousands of square miles under their management, and they needed annual updates regarding how land was being used/ what cover type or condition it was in. I developed a hybrid approach using random forest, super-pixels, and UNET's to look for regions of likely change, and then to try and identify the "to" and "from" classes of change. I'm pretty sure my data products and methods are still in use largely as I developed them. I built those out right on the back of UNET's becoming the backbone of modern image analysis (think early 2016), which is why we still had some RF in there (dating myself).
Another project I did was for State of California. I developed both the computer vision and statistical approaches for estimating outdoor water use for almost all residential properties in the state. These numbers I think are still in-use today (in-fact I know they are), and haven't been updated since I developed them. That project was at a 1sq foot pixel resolution and was just about wall-to-wall mapping for the entire state, effectively putting down an estimate for every single scrap of turf grass in the state, and if California was going to allocate water budget for you or not. So if you got a nasty-gram from the water company about irrigation, my bad.
These days I work on a small team focused on identifying features relevant for wildfire risk. I'm trying to see if I can put together a short video of what I'm working on right now as i post this.
Example, fresh of the presses for some random house in California:
Imagine buying ~~a policitian's cryptocurrency~~
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Oh yeah. Why? Yeah.. yeah I could never imagine leaving one toxic social media and then trying to find a similar replacement..