Within Government Analytics, machine learning is applied to big data to help governments make decisions and take actions. Machine learning algorithms and technologies continue to develop and increase in scope every year as artificial intelligence penetrates the data center. In this rapidly expanding field, reprogrammable FPGAs allow for the continual implementation of the newest algorithms and neural network topologies.

Radar has been a foundational technology area in which the semiconductor industry has played a large role for the last two decades. Parameters such as high-performance data processing, ultra-wide bandwidth, high dynamic range, and adaptive systems needed for diverse mission requirements are some of the most common challenges to system designers。

In electronic warfare (EW) systems, key drivers for continuous enhancements are electronic counter-counter-measures (ECCM), stealth technologies, closely interlinked smart sensor networks, and intelligent guided weapons. These systems must be able to rapidly analyze and respond to multiple threats in very short time frames.