Neural networks getting damn close.

Not goals. More like dream...

... To get into that one uni that I actually want for phd.

I have gotten so spoiled playing with robots and neural networks, that I can't even imagine falling that badly from grace to go back to... web development. Like I'm not looking down on it, it's just that I found my passion and there is not enough jobs available out there for me without going through phd or high-end research.

... And I honestly don't have a backup plan. There are choices, but I don't like any of them. So here goes hoping they accept me. ¯\_(ツ)_/¯

Make sure to check out the latest Veritasium video. It's mostly about the analog computers of the 20th century. At the end he teased that part 2 will be about using analog computers for neural networks.

In the future, entertainment will be autogenerated.

First time ever merging two massive networks.
If this doesn't give me pain, technically my thesis work is done. Prettification, optimization, and the actual writing is left, but the main part is done.

And when this is done, I shall feel epic.

neural networks can't consent

Anyone here into deep learning and neural networks?

I've been sitting here staring at extension types and I wonder, what if I had a partial file with partial data ?

In general one could say that in every case where say a header is missing that is ALWAYS going to have some identifying characteristics even given a characteristic statistically frequent pattern of data, that there is always a null value that appears as total chaos.

But I wonder, is there a way beyond simply trying every goddamn possible combination of things until meaningful data is extracted to identify a file by its content when part of that content that is usually used for such a purpose, is missing ?

What kind of application or technology would be required for this ? Certainly not neural networks, but obviously some kind of ai right ?