The features part is really the tricky part. You could supply a set of pictures of aircraft and the algorithm would need to determine what is common to all those examples.
With regards to training, It is possible to perform this learning task without direct supervised (tagged data) training.
Imagine the following:
Take a trillions of images from the web, and use unsupervised, clustering methods to group images into groups of equivalence, given that you have great features that allow you to do that.
Then, given a cluster of millions of examples, take the surrounding text around the images source and try to find common denominators in the text. It's not far fetched to think that similar objects in the images will have similar words in the text.

Such "Big Data" research is now being done in various research facilities around the world.

The last paragraph gave me the following thought.
Given how much the food industry is "concerned" with providing us with the best quality,
is it potentially possible that they can use this molecule to block our ability to sense some bad stuff that is in their products?

From the video, I guess that no harm would come to them other than the fact that if the unfolding breaks, they may not be able to get out.

And as usual, innocent men have to suffer.

I was thinking more like TabletWorld, if you follow the analysts of the PC market.

You can find starter kits at http://www.hobbyking.com/hobbyking/store/__702__689__Robotics_DIY-Robotics_Kits.html
If you want to go for the soccer project, perhaps the biped kit would do.

It's always morning somewhere

But describing 14:00 as morning is a bit too much.

For the past 20 years, I have been doing a wide variety of projects, and though some of the university math has been very useful (e.g. Linear algebra), I can honestly say I have never needed to use any of the differential equations techniques in the form taught in school.
At best, I had to use a system that can be described by a differential equation, but in discrete form and with simple functions that numerically solve the problem.

Perhaps I'm reading this wrong, but it seems that they're saying that in 2004, MS had a majority, but this is now changing and thus the bug can be closed. With your enumeration you simply give anecdotal evidence to this.

A plumber goes to a doctor's house to fix a leak.
He works for 15 minutes and then asks the doctor for $200
The doctor says "I don't even make close to that!!"
The plumber replies: "When I was a doctor, I didn't either"

In an attempt to make free content more prevalent.

Ok, then my new real question is Did Intel refuse because they didn't think the iPhone would be good business for them,
or because they insisted on making it an x86, due to IP pride and such,
which conflicted with Apple's vision.

Would the iPhone still be a success with an Intel processor, given the power consumption of their chips at the time.

Most of which are forced by my employer as means to "protect our IP"
I agree that a lot of patents filed and issued I would not consider a legitimate invention.