NXP Boosts Its eIQ Edge AI Platform with GenAI Flow, Time Series Studio Features
On-device machine learning and artificial intelligence gets a boost with a new eIQ toolkit release.
NXP Semiconductors has announced two new tools in its eIQ edge artificial intelligence (edge AI) and on-device machine learning (ML) platform: GenAI Flow with Retrieval Augmented Generation (RAG) and eIQ Time Series Studio.
"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," says NXP's Charles Dachs in support of the company's moves in this direction. "With ready-to-use tools suitable for both small AI models on MCUs [Microcontroller Units] like the MCX portfolio, crossover MCUs like the i.MX RT700, as well as larger, generative AI models running on more powerful devices like the i.MX 95 applications processor, NXP is delivering an unparalleled breadth of options for developers across the full spectrum of AI models and AI-enabled edge processors. NXP is making edge AI truly practical for developers across a wide range of markets."
In its latest update to its eIQ AI and ML platform, NXP has announced two major features — the first of which, GenAI Flow, targets the company's application-class processors. This, NXP explains, is designed to provide what developers need to make Large Language Models (LLMs) to handle generative AI tasks, including support for Retrieval Augmented Generation (RAG) — a system that aims to reduce the likelihood of "hallucinations" in the generated response tokens by providing additional reference material outside of the primary prompt.
eIQ Time Series Studio, meanwhile, targets edge AI on the company's microcontroller families, and is designed to reduce development time for models that process input signals including voltage, current, temperature, vibration, pressure, sound, and time-off-flight distance — or to combine two or more of the above for multi-modal sensor fusion. It allows, NXP claims, for the automatic creation of machine learning systems for insight extraction from time-sequential data — for anomaly detection, for example.
The latest eIQ software is available on the NXP website now.