Nanohaystack
Nanohaystack t1_jacte3e wrote
Reply to TIFU by cheating on my wife a second time by Odd_Ad_5639
Rule 1 of cheating: don't.
Rule 2 of cheating: see rule 1.
So... What were you thinking when you did it? How did you conduct your reasoning?
Nanohaystack t1_j5ukavy wrote
Reply to comment by Sweeth_Tooth99 in WiFi Routers Used to Produce 3D Images of Humans by iboughtarock
You'd have to fiddle with the firmware in any case to get such capacities even if you weren't using the router itself for computing. If you reeeeeaaaalllyyyy optimized a machine learned model that's fitted precisely to the conditions of a particular room, then it could be possible. There are wifi routers out there on the more expensive side with beefy CPUs that have like 1 gig memory and can take a few hundred MB worth of firmware. Even stuff you can find off the shelf in a BestBuy now, like Asus AX1800, can carry 128MB flash, that's sufficient for a rudimentary machine learning setup, though with its 256MB RAM and 4-core 1.5GHz ARM Cortex, it would be rather slow at training a model and will definitely need external storage for swap space.
If I were approaching such a task today, I'd be using two or three access points as "sensors" using a jerry rigged radio driver to stream raw data straight to a dedicated machine learning setup. I've met tech wiz guys who are in the business of optimizing trained neural networks and they do some very impressive stuff, but even then, I'd be surprised if a run of the mill home router CPU wouldn't burst into fire under all this load.
Nanohaystack t1_j5tizx0 wrote
Echolocation has been a thing for a while, it's just that the normal radio background made it impractical to try developing deterministic echolocation techniques for heavily trafficked applications, though attempts were made even in the early 2000s. This is essentially the same thing as we saw in Dark Knight film, in 2008. The use of machine learning for processing such massive amounts of data enabled this application of a well-known technology.
Nanohaystack t1_ivps3h8 wrote
Reply to comment by pyrosisflame in Frequency of billion-dollar natural disasters in the US (2021 dollars), 1980 – 2022 [OC] by USAFacts_Official
Yeah. Adjust it for current market price of damaged property. Shit's just probably gotten more expensive.
Nanohaystack t1_jec40d3 wrote
Reply to Because so many locations require cars to get around, motor vehicles are a tax that disproportionately penalize poorer people. by wfezzari
Where I live (Toronto area, Canada), public transport ain't all that much cheaper than car. I would pay about the same amount in train rides as monthly car payments a few years back when going to office all the time.