Designing Machine Learning into EM Programs: Recent advances and insights from two regions

Published July 8, 2019

Please register today and join us for this August 1st webinar.

Commercial fisheries are moving to implement electronic monitoring (EM) for fishery-dependent data collection. Among the substantive barriers for broad-scale implementation, however, are the high costs of video review, transmission, and storage. Currently, EM programs rely on labor-intensive (thus costly) processes, and there is a need to improve the timeliness of data management associated with new EM data streams.

This webinar will examine advances in incorporating artificial intelligence (AI) and machine learning (ML), provide some lessons-learned, and give insights on how to develop AI-friendly EM programs. Drawing on recent developments and examples from Alaska and New England, it will be of interest to fishermen, fishery managers, scientists, data managers, equipment and… Read More »

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