2 papers
cs.SE2025
When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning
Roberto Morabito, Guanghan Wu
Large Language Models (LLMs) are increasingly used to automate software generation in embedded machine learning workflows, yet their outputs often fail silently or behave unpredict…
cs.SE2025
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
Guanghan Wu, Sasu Tarkoma, Roberto Morabito
The evolving requirements of Internet of Things (IoT) applications are driving an increasing shift toward bringing intelligence to the edge, enabling real-time insights and decisio…