Rob, actually, it was intended to be a sort of terrible pun.
But it is becoming very clear to me that there is a growing gap between the abilities of those who just use some tool and those who created the tools. The problem seems to be that the only engineers who seem to be interested in running the show are the ones who should not be running the show.
That's a heck of a comment, William K. I did late-night work when I was in college as well. I worked on the university's daily newspaper. I'd come into the office after a play or concert and have to write a review that evening while the copy editors were waiting for my copy. They couldn't go home until I finished. What pressure. It was good practice.
Back in the day, I was also a UMD "night owl" from time to time (physics and EE). The campus was an entirely different world at night (never a fight over an electronic terminal, with the loser left having to use the POS teletypes). As a commuter with a full time job though, it tended only to be when I absolutely HAD to get it done (or by invitation).
Of course, bypassing lock-outs is never good (usually this conversation revolves around generators and people who understand basic circuits but not fault modes).
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
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.