“The future ain’t what it used to be.”

-Yogi Berra

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Cake day: July 29th, 2023

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  • TropicalDingdong@lemmy.worldtoTechnology@lemmy.worldWhat are your AI use cases?
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    23 days ago

    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:








  • Wouldn’t that be the point of focusing on the interoperability layers and recent investment in Arch?

    it does not remotely get the same kind of battery life as it does in OSX

    Yeah exactly. So you need to invest into finding the fixes to that. Which is what Valve appears to be doing? It might be a fishing expedition or just a virtue signal to the foss world, sure. But they did do the thing.

    And yes on AMD. I did leave that window for myself to crawl out through. I think if the trip down ARM on Arch ends up being a fishing expedition, they flip over to a known quantity for a refresh.




  • With their recent donations to Arch Linux were focused on unblocking some issues with supporting Arch on ARM (notibally stuff needed for better automated builds) would suggest they want to stick with Arch.

    Next you need good emulation layers for x64 and x86 as that is what all games are written in. Which there are leaks that say they are working on this as well.

    Thats two legs of support for an ARM architecture.

    But that is two big blockers that could take years to solve.

    Sure. But what you are describing is “uncertainty”. Uncertainty in isolation isn’t a form of evidence. It could take years. It could not. Its not just Valve looking to solve this issue. MS has committed to ARM based interoperability; so has Apple. MS and Apple obviously want things to work seamlessly between ARM and x64, x86. The heat/ power to performance gains are just too much to leave on the table and both of those Software/ Hardware manufacturers saw this coming. If this was a project coming out of Valve & Arch doing the work; sure, I’d give it a time line of a couple to several years. But Valve while coming in with backing and there are other players looking to overcome and address the same problem. With teams like MS and Apple also working on it, I expect this to be figured out on a faster timeline. Months/ few years.

    Within a couple of years and I don’t think it will be arm based.

    Sure. If thats your bet thats your bet. My bet is solidly on ARM. Its what the evidence we have points at, even if there isn’t a ton of certainty around it.