MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones

Author:

Navardi Mozhgan1,Mohsenin Tinoosh1

Affiliation:

1. University of Maryland Baltimore County,Department of Computer Science & Electrical Engineering,USA

Publisher

IEEE

Reference33 articles.

1. Mc-cim: Compute-in-memory with monte-carlo dropouts for bayesian edge intelligence;shukla;IEEE Transactions on Circuits and Systems I Regular Papers,2022

2. QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI

3. Meta-Reasoning: Monitoring and Control of Thinking and Reasoning

4. 2021 roadmap on neuromorphic computing and engineering;christensen;ArXiv Preprint,2021

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