When I was in college, an aquaintance, upon hearing I was an engineering student, asked me: "So what will you do when you graduate, fix refrigerators?" Because the term "engineer" is used to describe maintenance, repair and even garbage collection, headline writers (like the one at The Wall Street Journal), look for a term of greater distinction. "Scientist" sounds more impressive to them. After all, no one ever referred to their garbage man as a "sanitary scientist."
I can understand your frustration, Henry. The Wall Street Journal headline was just plain wrong, especially since "engineering" was used in the quote. Chalk that up to the fact that headline writers are not usually the author of the article. Journalists run into this all the time -- the headline writer getting it wrong (except at Design News of course).
I would guess the source of the problem is simple. So many of the advances we have seen over the past few decades have involved collaboration between science and engineering -- from space flight to Moore's Law. This has spilled over into biomedicine when it comes to develoments such as bio "engineering."
While you're correct in pointing out the two disiplines are essentially different, you'll find both the scientist and the engineer at the birth of most of our technical advances.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.