Le Mans, France —During the 24-hr race at Le Mans (June 17-18), information flowed from General Motors race cars via the Internet to homes around the world, providing a new perspective on the term "spectator sport." GM's demonstration of its ability to connect vehicles to the Internet allowed anyone with Internet access to see first-hand what had previously been exclusive to drivers and pit crews. Telemetry data from four Cadillac and Corvette entries included speed, braking, rpm, and lateral g-forces. The experience included real-time positions of the cars on the course, and allowed viewers to see through the drivers' eyes during the day and even at night through in-car cameras and the first ever road-racing use of Cadillac's exclusive Night Vision technology.
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.