The best innovation I see is the night vision with "heads up" warning. The GPS terrain feature is more "tecnnology in desparate search of a use", and I fear, would not only take some of the fun out of driving, but reduce some of the driver's skills (but I repeat myself).
Very cute, but are there data showing that this needlessly complicated system drives the car any more efficiently than a moderately skilled human? While it certainly can predict terrain, can it know things like weather or traffic conditions?
It is ironic that the same company which once built the world's most efficient aircraft engines would be turning out this gas hog.
RR has come out with a driver-oriented performance vehicle designed by a BMW engineer. Quite a change from the days when Bentley was their performance division. In the old days, RR ignored the driver (assumed to be your chauffeur), emphasized the luxury of the back seat (where the owner sat), and listed the horsepower as "adequate."
In one corner of the world, coincidentally the country where Roll-Royce was founded, this car will be known as a "pratmobile" (US citizens might have to look up the definition of "prat"). This is not a vehicle for reaching your destination in speed, safety and comfort. A BMW 5 or Mercedes C-class can do that. This is a car for showing everyone else how much money you have.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.