New Uses For AI

AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, building on or improving technology that already exists. But in addition to having a significant impact, these developments provide design teams with a baseline for understanding what AI can and cannot do well, how it behaves over time and under different environmental and operating conditions, and how it interacts with other systems. Until recently, the bulk of AI/machine learning has been confined to the data center or specialized mil/aero applications. It has since begun migrating to the edge, which itself is just beginning to take form, driven by a rising volume of data and the need to process that data closer to the source.