I'm wondering what Mr. Truchard's list of Grand Challenges might have looked like 10 or 20 years ago, and what specific NI inventions helped solve those problems. I like his stuff. You need to have very big goals in order to do great things.
Based on Chuck's article, it looks like NI pulled off a nice balancing act by supporting its lofty goals of working on society's biggest problems with a peak at some specific technology initiatives that do just that. Showing how their tools can be parlayed into real-world innovations is just what the doctor ordered in terms of motivating and keeping engineers engaged.
NI has become a very interesting company is recent years. They're been stretching quite bit. I've wondered was was behind it. Chuck's article spells it out. It's good to see big thinking based on engineering.
It is good to see NI encouraging their employees to tackle society's greatest challenges. By creating new tools and having daily conversations ideas can be tossed around and improved to tackle big issues head on.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.