The four-year-old $14.8 billion Big Dig in Boston is up to its old tricks of behaving like a 70-year-old tunnel. The problem this time around are leaks, which are up 18% over last year after Massachusetts officials pledged to reduce them to a trickle, according to the Boston Globe. Every months, the Big Dig pumps out 2 million gallons of water. In late 2004, the Globe reported that Bechtel officials said the leaks were "normal" and would take a few months to fix. The Globe’s story yesterday shows a partially flooded roadway in the tunnel whose 6-8 lanes wend there way under downtown Boston for about two miles. The leaks relevation comes just after lawyers for the family of the late Milena Del Valle rejected a settlement offer from a mediator representing 15 companies that design, managed and built the Big Dig, the largest highway project ever in U.S. Riding as a passenger, Del Valle was crushed by a suspended concrete ceiling panel that fell on car on the evening of July 10 last year. The project’s main contractor is Bechtel/Parsons Brinckerhoff.
As for the leaks, they’ve been reduced from 3,500 to 800 since 2004, but in some cases, the grout patches keep re-opening. It’s amazing they can’t get this given that the project was projected to cost $2.85 billion in 1985.
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.