Intent-Driven UAM Rescheduling
Analysis
This article likely discusses the application of AI, specifically LLMs, to improve the efficiency of Urban Air Mobility (UAM) operations by rescheduling flights based on their intended purpose or goals. The use of 'intent-driven' suggests a focus on understanding the underlying reasons for flights, allowing for more intelligent and optimized scheduling decisions. The source being ArXiv indicates this is a research paper.
Key Takeaways
Reference
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