Having moved from my Motorola Razr to my Blackberry as my primary phone, I hadn't seen my Razr for a week. Usually, this would bother me and despite carrying an increasing number of gadgets, I'd at least spend some time looking for the Razr. But after panning my Razr with a tired battery in my previous blog post, I didn't care whether I found it. Lo and behold, it showed up in some pants pocket this morning. It works, but my Blackberry 8700c is now my main phone.
By the way, I wrote a Chevy Volt column (posted Thursday) discussing why GM is so late to the electric car party. The columns highlights our coverage of the electric car's new materials and powertrain. Check it out.
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.