Today at NIWeek, NI announced a joint effort with Tektronix to develop a new digitizer product with a sampling rate that significantly extends the performance of PXI modular instrumentation. According to Eric Starkloff, VP of marketing, the digitizer will have greater than 3 GHz bandwidth and sample rates of more than 10 GS/s as compared to 2 GS/s with existing technology. During the keynote session, NI measured the rise time of a digital pulse to demonstrate how the higher sampling rate will allows users to grab more points along the rising edge of the signal for greater accuracy.
In this collaborative effort, Tektronix is providing its proprietary ASICs technology and the front end signal conditioning. NI is working on the memory and timing control at the back end, as well as the PXI interface software drivers. The team is currently working with lead users and expect to introduce the product in early 2010.
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.
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.