Edgar Lara-Curzio justifiably dinged us for running a photo showing a University of Lowell (Mass.) student working with a testing machine without wearing safety glasses. It appeared in our March 17 issue on page 53. The photo on page 54, however, has three people wearing their safety glassses.
Edgar is from Oak Ridge National Laboratory (ORNL) where he says safety is "ingrained" in the culture.Visitors and employees must follow strict rules at ORNL and are required to wear under clearly-defined circumstances. Plastics engineering professor Robert Malloy at U. Lowell says the school has strict rules about safety glasses and that the gaff was perpetuated by university pr people. And we should have recognized it when we ran the shot.
I searched "safety glasses" at U. Lowell’s site’s, but its Google search engine viewed my request as a virus or spyware and would not fulfill it. Since when does safety glasses sound like a virus or spyware (I’ve longed since to Yahoo! as my search engine because Google’s spyware and virus filters are so poor!)?
But I agree with Prof. Mallory’s initial response to Edgar’s e-mail. "Point well taken."
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.