HN user
For example, to create the image from the radar pulses, you can do time-domain backprojection, omega-k and others. Then when comparing images of different dates you can do SAR interferometry, then use numerical methods, iterative algorithms. Although I'm thinking this may be called signal processing instead of computer vision.
I'm not the person you are replying to but I work in image processing of SAR radar images and it's mostly ML-free (thankfully because I don't enjoy it). I dont know which other areas still work with these things
Just to clarify, it might be official but I'm argentinean and I never saw a map like this with south on top
I don't know much about this but I assume that the tritium will be created somehow while fussion is done [1]
[1] https://en.m.wikipedia.org/wiki/Deuterium%E2%80%93tritium_fu...
As a result, I don’t have much use for Memcheck, but I still use Cachegrind, Callgrind, and DHAT all the time. I’m amazed that I’m still using Cachegrind today, given that it has hardly changed in twenty years. (I only use it for instruction counts, though. I wouldn’t trust the icache/dcache results at all given that they come from a best-guess simulation of an AMD Athlon circa 2002.)
The few times I used the cache simulator and compared it to (Linux) Perf I found reasonable results. Someone can recommend a better cache simulator?
Weird, it works for me. You can use any of the other published links in the sibling comments. The name of the paper is "Quantum Limits in Optical Communications" by Banaszek
Very interesting, I studied telecommunications and I thought the Shannon limit was the absolute limit. I wonder now if this Gordon Holevo limit is applicable for "traditional" telecommunications (like 5G) as opposed to photon counting a deep space probe
EDIT: This paper seems to answer my question [1]
[1] https://opg.optica.org/directpdfaccess/8711ab35-bbc2-4d51-8e...
Thank you!
Do you have more info? I googled quickly with the "fake" and "staged" keywords and found nothing
Obligatory XKCD: https://xkcd.com/2029/
Not entirely sure what time reflection is, but I'm pretty sure it doesn't mean anything related to anything going backward in time. Here I think it's explained better https://spectrum.ieee.org/time-reversal-interface
Edit: Now that I've read a bit more, it seems to me this is just reflecting light back but "all at once". Like if a light signal were a train going right and the first wagon is A (>>>[D][C][B][A]>>>), a normal mirror would make it bounce and the train would go back going left and wagon A arrives first (<<<[A][B][C][D]<<<). A """time reflection""" would make the train return backwards and wagon D arrives first like this (<<<[D][C][B][A]<<<). I understand it is like reflecting each wagon at the same time so the train comes back reversed. This looks cool but I think the article deliberatively makes it confusing so it sound like the movie TENET when it starts talking about entropy
I find this one as the most complete [1] [2]
[1] https://github.com/ajhalthor/Transformer-Neural-Network/blob...
[2] https://www.youtube.com/watch?v=Nw_PJdmydZY&list=PLTl9hO2Oob...
The web version is a bit of a different project. Make sure to try the desktop version!