It's amazing that Apple has nearly matched Google in some parts (maps, directions) and far exceeded them in others (3D).
It will be interesting to see if Microsoft's amazing augmented reality research will end up in a mapping product some day soon as well.
So Nokia (symbian/windows phone) still holds the edge when it comes to navigation. When it comes to local search/places, the Nokia offering is nowhere near as good as the (online) Google Maps
Meanwhile, there is another program to build the world's best maps, which is quite the opposite of secretive, involves hundreds of thousands of volunteers around the world, offers public dumps under a free license, and has already outperformed Google for some areas and use cases: http://www.openstreetmap.org/
OSM might not have the computer vision tools or the Street View imagery, but there's still plenty of work to do with the existing tools and data.
I am truly astounded by how quickly we are accelerating through this information era.
Google is merely processing massive data sets using manually crafted algorithims. This is a complete different project, which has little or nothing to do with artificial intelligence.
That is what Watson is. There's not really any "true" artificial intelligence since the term is so poorly defined, but you could make a good argument that your description above fits humans pretty well, too.
What i'd LOVE to see is for Nissan to throw away its custom OS, and replace it with Android... along with that I want google maps (instead of whatever Nissan is licensing). Plus it would be nice to download apps for my car such as a better mileage tracker etc.
High resolution 3D modelling is already available in much of Norther Europe. It is very cool, but surprisingly difficult to actually make useful. In most applications comic book style generalisations actually work better.
'Not to detour too much, but what you see above is just the beginning of how Google is going to use Street View imagery. Think of them as the early web crawlers (remember those?) going out in the world, looking for the words on pages. That's what Street View is doing. One of its first uses is finding street signs (and addresses) so that Google's maps can better understand the logic of human transportation systems. But as computer vision and OCR improve, any word that is visible from a road will become a part of Google's index of the physical world. Later in the day, Google Maps VP Brian McClendon put it like this: "We can actually organize the world's physical written information if we can OCR it and place it," McClendon said. "We use that to create our maps right now by extracting street names and addresses, but there is a lot more there." More like what? "We already have what we call 'view codes' for 6 million businesses and 20 million addresses, where we know exactly what we're looking at," McClendon continued. "We're able to use logo matching and find out where are the Kentucky Fried Chicken signs... We're able to identify and make a semantic understanding of all the pixels we've acquired. That's fundamental to what we do."'
That is scary. They could read license plates and tie them to addresses. They could read bumper stickers and determine your politics, whether your kid was an honor student at what school, etc.
If you really wanted to keep your politics secret, you wouldn't put a political sticker on your car.
All anyone sees on my car is what radio station I listen to.
Wait, what? By what measure?
now, that's what i call competitive advantage.