I’m in a Southwest Airlines 737-300 flying to Baltimore from Manchester, N.H. Seating in exit row 12E, I’m in rough air or what I would classify as moderate turbulence (or chop in pilot parlance). It’s the kind where’s it’s hard to place my mouse pointer on the desired command. Do-able, but shaky (I have not been drinking either – the noon cocktail hour is still two hours away).
I’m at 34,000 feet, well above the storm lies below over New York and Boston (game one of the ALCS series is tonight between the Red Sox and Cleveland at Boston’s Fenway Park)
I am wondering about how the 787 would be damping the effects of this turbulence. We did a story on sensors capable of damping turbulence in our original coverage in May which has been much expanded since then. Of course, 787s are unlikely to be flying such short routes and we’ll have to wait a little longer given the six month delay in the first deliveries announced last week.
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.