/sci/ - Science & Math

Made this thread earlier today >>9574731, i.e. I read up a bit on hash functions.

I'm also doing some smart contract programming on the side (NEO) as it's challanging and financially rewarding. I'm implementing this
http://fc17.ifca.ai/preproceedings/paper_80.pdf
(which has a reference implementation on Ethereum). If anybody is interested, hit me up.

I'm also a shill for Idris, but didn't find much time for that lately.

>>9576105
OP asked for a way that involves doing math himself tho

>>9574099
I don't think the boom of last summer will come back as quickly and atm. they don't vary independently enough to consider it investment in one or the other.

>>9574117
Simple buy low sell high, with moving average considerations and most naive chart evaluation. It wasn't that he didn't buy and sell right, it's just that if you play it as save, you need substantial funds to make something from it. Or at least I did. I was using an API from Bittrex for the trade operations themselves.
If you're into crypto, I do some light dapp development on NEO. For anyone interested in some modular arithmetic, I'm going to implement this paper next:
http://fc17.ifca.ai/preproceedings/paper_80.pdf
It has a reference implementation on Ethereum.

But sorry for moving away from the topic.
My PhD wasn't successful in the sense that the experiment (for which I did the computer simulations) didn't show any practically usable outcome. I learned some pretty things doing it, technically speaking, but I'm more or less detached from that topic now. It's the same for many of the PhD students who worked with me.
I could conclude that there's no point of taking it too seriously and say don't spend this time of your life in the lab entirely - but then again maybe there are people who do something important and should do just that, donno. It feel to me now that the person who gains the most at the end is the person who's strong enough to take a few hours a week - maybe 30 minutes every evening - and tries to learn what's out there and who the good people in the various interesting fields are and what topics interests them. Not just in academia, but this also helps with finding jobs later or invest in stuff, wether it be money or time. Keep up with what's out there and don't kill yourself.