The hottest CAD/CAM/CAE buzzwords of 2001 are "peer-to-peer" and
"collaborative." But although they've been echoed incessantly at trade shows and
conferences for several months now, will these latest software concepts survive
the recent NASDAQ carnage and imploding dot-coms?
There is no stronger answer to this question than yesterday's
announcement by SDRC (Cincinnati, OH; www.sdrc.com) that it would acquire Inovie
Software Inc. (San Diego, CA; www.inovie.com) for an undisclosed price.
Translation: "It's not a recession, it's a buying opportunity."
That theme was mirrored in last week's announcement by Dassault Systemes
(Suresnes, France; www.dsweb.com) that it
would acquire SRAC (Los Angeles, CA; www.srac.com) for $22 million.
Indeed, SDRC announced plans to expand its products in the
buzzword areas, saying it would "combine its Metaphase product knowledge
management (PKM) and Accelis e-Business integration suite (e-BI) with Inovie's
collaborative project management offerings" to offer secure, Web-based
collaboration in the manufacturing and supply chain enterprise. The new
solutions will empower virtual business teams to better collaborate in the
Let's hope for SDRC's sake that its new software products don't
make a merely "virtual" profit.
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.