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saltenhav

Re:AIGrant: Get $5,000 for your open source AI project on Tuesday April 11, 2017 @03:15PM (#14091422)
Say an applicant pursues something more along the lines of research that might not immediately lead to an implementation - what do you expect of an 'open source' project of this variety?
Re:NASA budget would cut Earth science and education on Thursday March 16, 2017 @02:25PM (#13887539)
"Also on the chopping block: the entire NASA Education office, which ... provides internships and scholarships for young scientists"

I was an intern last year working on one of the listed missions (now slated to be cut), and was planning on returning again this summer. I knew this was coming from Trump, but not this quickly or this hard. It's difficult to describe in concrete terms how I feel - I don't mean to be a sad sack; it's just a surreal situation. This means that many months of my work on my first real job were all for naught. Do you ever get personally attached to your work? I felt like my effort there was making an impact; it wasn't a boring sort-a-filing-cabinet internship. And it just disappeared for good, since I don't think there will be funding for a reboot later. I feel listless, which is also helped by the fact that it doesn't sound like I have a career in the near-term. Kinda pulled out from under me. And I only just found out about this from this news article; at least the concrete specifics.

Is anyone still taking applications for an undergrad intern, with intern-level experience in aerospace controls engineering (rising senior CS major)? I don't want to limit myself to that specifically either; anything with a decent cross-section of either math, software, or robotics is my jam. Sorry to put this out here like this, but I'm wary that I'm running out of time to find something since aerospace intern hiring seems to conclude all the way back in early Fall.

Re:Understanding Aesthetics with Deep Learning on Wednesday October 26, 2016 @02:30PM (#12799111)
Jurgen Schmidhuber has an interesting perspective on the rewarding aspects of art and music.

To paraphrase, "Artists (and observers of art) get rewarded for making (and observing) novel patterns: data that is neither arbitrary (like incompressible random white noise) nor regular in an already known way, but regular in way that is new with respect to the observer's current knowledge, yet learnable (that is, after learning fewer computational resources are needed to encode the data)".

In other words, enjoyment of art is about learning (easy) patterns. Schmidhuber likens "fun" to the improvement of an observer's ability to compress a scene.

The source is worth the read: http://people.idsia.ch/~juergen/creativity.html