You're wrong. What you're suggesting is there is no merit in going for an O(n^2) sorting algorithm to O(nlogn) and then to an O(n^1.2534) sorting algorithm.

SLAM at a multi-city scale can use mathematical trickery to improve runtime. Sure, a new solver would help - but we don't need it as long as there is another trick up the mathematician's sleeve. Oh, and it's harder to come up with a new solver / technique.

Might as well switch to Windows now. They've got a bash shell (thx Ubuntu) and have a much more polished UI.

You do not get the full Linux, just the Ubuntu user-space packages.

But once you need something advanced, you can install Ubuntu as dual-boot and you will be at home.

Have you looked at http://aishack.in/

Any sufficiently human-like capability is likely to be based on neural networks in this age.

Wait, the neural network encodes within itself probability distributions of the various image patches it has seen. This is sort of like AI.

Approaches in the past used heuristics (like finding edges and upsampling them, etc). Those were fragile systems. In this approach, the system learns what's appropriate on its own.

Knowledge is a form of compression

Have you looked at http://aishack.in/ - it has a bunch of opencv tutorials and projects.

ahh this is great! opencv tutorials with detailed explanations on the algorithms are hard to come by. i've found tutorials really useful to learn some of the standard processes in image processing (i.e. grayscale and blurring to remove noise).

I can imagine this being useful in certain Indian cities (where water is relatively expensive). The self-powered part makes it super awesome!

That's probably because the BSNL employees are still having the samosas/chai they ordered?

Seriously?

Fixing piracy requires that the government officials are paid a good salary. Would a policeman need a bribe if he can get INR 1 lakh/mo legitimately (~USD 2250/mo)?