KTH's official address is just KTH, 100 44 Stockholm. But since the '10' prefix already implies Stockholm [1], you could feasibly shorten it to just '100 44'.
Actually, it looks like Chalmers is the same way - the address in the footer of their website is just "Chalmers University of Technology, 412 96 Gothenburg" (with the '41' prefix already implying Gothenburg).
Not that I send many paper letters any more, but long ago I took to simply writing my return address as my (unique) last name and zip code which has worked a few times (not that I’d know of any failure cases).
For US post office boxes you can just write the full 9-digit zip code.
I've read this book recently and found it a very useful overview of ML. It is a bit theoretical which is good for somebody that comfortably reads math notation. Also the notation is pretty consistent which makes connections between methods and algorithms stand out.
These images were rendered with a "white" bias. Facial features is one thing, but skin color is clearly not conveyed by statues, yet a clear choice was made here.
Is that not what 'blonde' generally is in adults? An image search for 'blonde man' returns men I'd consider 'blonde' which hair which seems objectively light brown (except those with obviously bleached highlights.)
The color of Augustus here[0] is definitely blonde for me, bordering on platinum, while what I meant is that it might as well have been darker, i.e. [1] which I would call "light chestnut".
It doesn't matter. Non-white people without steppe ancestry are pretty much uniformly dark-haired and don't have names akin to "subflavum" for traditional hair colors, because light yellow/gold hair just isn't a thing, regardless of what exactly they conceive of as "yellow/gold".
You can't just claim this without suggesting what's actually wrong. What is wrong, and where are the good sources from which we can make a comparison? If you're just guessing then you're no better than this ML model.
