2 papers
cs.DC2025
Environment-Aware Dynamic Pruning for Pipelined Edge Inference
Austin O'Quinn, Conor Snedeker, Siyuan Zhang +1
IoT and edge-based inference systems require unique solutions to overcome resource limitations and unpredictable environments. In this paper, we propose an environment-aware dynami…
eess.SY2024
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Jenna Kline, Austin O'Quinn, Tanya Berger-Wolf +1
Platforms that run artificial intelligence (AI) pipelines on edge computing resources are transforming the fields of animal ecology and biodiversity, enabling novel wildlife studie…