Just want to add that I prefer Ada over C++ despite it having less mind share, tools, and libraries because its productivity is so high. (Not saying that I dislike C++.)
And, speculating here, with the encroachment of AI into programming/software engineering, I assume that it's convenient to use languages that are declarative (e.g. Haskell) and/or designed for verification/formal methods (e.g. Ada/SPARK) to integrate AIs of various kinds.
Thanks! No, the US Government can't access your data. Only you can. GovCloud is just a special portion of AWS that has extra security controls so that US companies are confident that all their data is housed in US servers and properly treated according to ITAR regulations. It's totally fine for companies outside the US to use and doesn't give the government any access.
We also support on-premises deployments if that's preferable to companies outside the US.
I’m building up a space related non-profit (space telescopes) and I’m not in the USA.
So ITAR is a poison, it is great you have an ITAR Free option, do you have any plans to host in other AWS regions long term? And how much more is on-premises likely to cost me?
Yep, we are planning on hosting in other AWS regions as well. For pricing, let's discuss offline because it'll depend on a few things. Can you fill out the Contact form on our website (https://epsilon3.io/contact), and we can take it from there?
It depends on the specific professor. There are stressful and relaxed ones. It trickles down from the professors to their assistants to their PhD students. Here's my ad-hoc list of bad signs. Avoid those.
Professors
* don't have time for feedback
* have no interest in their PhD students' work
* are known to steal results (and put their names on it)
* are ideologically/religiously driven and judge you and everybody else accordingly
* don't open their network to their PhD students
* jump from one hot/trendy topic to the next and burn their PhD students on it
* blame others/circumstances for anything bad
Faculty
* members pride themselves for devoting their lives to the cause
* members do long work days, have little sleep
* has little budget it spends on its PhD students
* feels toxic (Sayre's Law: "Academic politics is the most vicious and bitter form of politics, because the stakes are so low.")
PhD students
* do overtime
* rarely/never publish
* publish in irrelevant magazines
* publish with their names on the nth position (after doing all the work)
* don't or rarely attend conferences
* don't or rarely work on what they signed up for
* take long to finish (or don't finish at all)
* blame others/circumstances for their bad situation
Talk to PhD students, ask on the net, listen to speeches and lectures the professors gave.
A lot of advice given at HN about whether to join a startup applies to academia as well. Unnecessary work, little pay, vague promises, inconsistent management, insider circles. I wonder what academia's equivalent of stock options is. Aiming for tenureship perhaps?
