3 ms·

Here is a piece of advice for CS graduate students: take a look at the Gartner hype cycle. Here's the cycle from 2014: http://www.gartner.com/newsroom/id/281991

Here is a piece of advice for CS graduate students: take a look at the Gartner hype cycle. Here's the cycle from 2014: http://www.gartner.com/newsroom/id/2819918 http://www.gartner.com/newsroom/id/2819918. Pick something far on the left side of the curve, and ride the hype.

nmrm2 11y ago
I'm not so sure this is great advice for PhD students. Junior faculty maybe. You should fix a lot of other things first (in particular, prefered methodology and advisor) and then, after fixing those things, choose applications toward the left-hand side. A few reasons: 1. If you're doing it for hype alone you will be miserable. Ph.D. students tend to be out ahead of pretty much everyone in terms of the nitty gritty details, so they often hit the trough of disillusionment right around the time everyone else is at the top of the hype curve. 2. A Ph.D. is a once-in-a-lifetime opportunity to be paid (sometimes comfortably) to work on (mostly) whatever you want. If it's not at least a little self-indulgent, you're wasting a great opportunity. 3. You'll have the rest of your life to chase the next sexy thing.
Xcelerate 11y ago
"Quantum computing" is ahead of "connected home"?
- nmrm2 11y ago
  These curves are marketing material for an "advisory firm". Nothing more, nothing less. The idea of the curbe is more important that the particular points, and the points are often mis-placed. Also, lots of technologies jump around randomly on the curve or move rapidly through some parts, etc.