NXP expands Edge AI capabilities with new software tools
Summary
“AI is the key to a world that anticipates and automates based on user wants and needs, but it must be developed in a way that is practical for edge deployment,” said Charles Dachs, Senior Vice President and General Manager, Industrial and IoT, NXP Semiconductors. Designed to be used with MPUs such as NXP’s i.MX family of applications processors, these generative AI solutions make it easier to deploy intelligence at the edge by training LLMs on specific contextual data. It supports a wide range of input signals, including voltage, current, temperature, vibration, pressure, sound, time of flight, among others, as well as combinations of these for multi-modal sensor fusion. The automatic machine learning capability enables developers to extract meaningful insights from raw time-sequential data and quickly build AI models tailored to meet performance, memory, flash storage size, and accuracy criteria. Its intuitive interface allows software developers to create optimized anomaly detection, classification and regression libraries, all without the need for deep data science or AI expertise.