Bench Talk

Recently I was given a project that would require me to transition from MCU to FPGA development. In this four-part blog series, I examine how I translated my existing knowledge and experiencing with MCUs into FPGA development. In Part 1, I examined some advantages and disadvantages of FPGAs, introduced the Terasic DE10 Nano development kit, and explored a few key FPGA planning considerations. Now in Part 2, I explore example code and discover additional useful resources.

Recently I was given a project that would require me to make the transition from MCU to FPGA development, which requires a move into the bigger and more capable ARM cortex outside of the safety and ease of the mBed environment. In this four-part blog series, I’ll examine how to translate my existing knowledge and experiencing with MCUs into FPGA development. In Part 1, we’ll begin with some advantages and disadvantages of FPGAs, introduce you to the Terasic DE10 Nano development kit, and look at a few key FPGA planning considerations.

Back in 2016, Intel® introduced its Compute Stick, which is a device about the size of a pack of gum that can transform any HDMI display into a small computer. Intel’s upcoming Compute Card is slated to take this concept even further and potentially revolutionize portable computing yet again. With a Compute Card and a docking station, you can take your computer—at least the most important bits—with you, as the Card comes complete with a processor, onboard storage, memory, wireless connectivity, and flexible I/O options.

Developing an artificial neural network requires both learning and operating capabilities: The Intel® Movidius™ Neural Compute Stick platform handles parallel matrix math and and includes five pre-trained neural network models in the SDK. This design allows faster and simpler access to the recognition models and, thereby, allows faster overall learning and operation.

Using augmented reality, medical practitioners can simulate procedures, gain visibility into the human body, and learn more quickly and efficiently.

Augmented reality is challenging traditional K-12 teaching methods by simultaneously meeting visual, auditory, and kinesthetic learning styles.

Augmented reality demonstrated the ability to improve workflows and boost efficiency via devices such as headsets, glasses, and head-mounted displays.

IoT Gateways connect devices to the cloud, and are an indispensable part of an IoT infrastructure.

Extensive use of technology helps vertical farming to thrive in a factory-like environment.

The underpinnings of vehicle communication has been set for some time, but roadblocks remain to complete adoption.