Alex is Content Director of Design News. Previously, he was editor-in-chief of InformationWeek.com. In his more than two decades as a technology editor, Alex has written for ACM Queue, Byte.com, McGraw-Hill's Electronics magazine, and IEEE Spectrum. He has served as managing editor of Mechanical Engineering magazine. He spent the 1990s at UBM's Electronic Engineering Times, where he broke the nationally known story of Intel's Pentium floating-point division bug in 1994. Alex has appeared as an industry analyst on CNN, CNBC, Fox News, and MSNBC. He's a frequent panelist and moderator at industry conferences. He holds a Bachelor's degree in electrical engineering from Cooper Union.
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.