Cyber-Physical Systems: Developing systems that continuously and dynamically interact with their environment through the coupling of distributed computational and physical components; CPS applications include smart grid, vehicle traffic networks, smart buildings, cooperative robots, telecommunications, automotive systems, and avionics. A CPS is characterised by three fundamental and deeply interwoven behaviours—computation, communication, and control.
Big Analog Data Solutions: Connecting IT infrastructures and analytic tools, such as the cloud, with data acquisition systems to make faster decisions on test data. Analogue systems, NI points out, generate the biggest data sets of all, and includes analogue data on voltage, pressure, acceleration, vibration, temperature, sound, and so on from the physical world. Big Analog Data sources are generated from the environment, nature, people, and electrical and mechanical machines. In addition, it’s the fastest of all big data since analogue signals are generally continuous waveforms that require digitizing at rates as fast as tens of GHz, often at large bit widths. And, it’s the biggest type because this kind of information is constantly generated from natural and man-made sources
RF/Wireless: Revolutionising the wireless industry by integrating a range of technologies from software defined radio into RF test equipment
Models of Computation: Integrating multiple programming approaches into a single environment to simplify complex distributed and real-time applications
Mobile Communication: Using mobile devices as user interfaces in measurement and control systems – which includes the BYOD (bring your own device) trends that haunts many IT managers.
STEM Education: Preparing students with cross-disciplinary approaches to engineering
National Instruments; www.ni.com