Practical Applications for AI and ML in Embedded Systems - RTInsights

Embedded development is often driven by the need to deploy highly optimized and efficient systems. AI is positioned to disrupt businesses either by enabling new approaches to solving complex problems or threatening the status quo for whole business sectors or types of jobs. Whether you understand what the excitement is all about and how it will be applied to your market, or you struggle to understand how you might take advantage of the technology, having some basic understanding of artificial intelligence and its potential applications has to be part of your strategic planning process. Despite the hype, it is sobering to remember that artificial intelligence is not a magic trick that can do anything. It's a tool with which a magician can do a few tricks.