A really interesting case of good detective work. Chris' comments regarding the lack of "tribal knowledge" because so many of the engineers had moved on really struck me. That's a problem we will be seeing much more as baby boomer engineers continue to exit the work force. Obviously, there were flaws with this bus design, but the issue of capturing, storing, and disseminating domain expertise and so-called tribal engineering knowledge is going to be critical for companies going forward. And it's not just for future product development, but for continued maintenance and support.
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.