202113Jan3:30 PM3:30 PMMERIDIAN Winter Webinar Series: Edge computing for hydrophones:Machine learning for in-situ automated analysis of underwater acoustic data3:30 PM - 3:30 PM Organizer: Meridian Region:OnlineTopic:Acoustics,DataCost:No CostConfidence:High TagsFree,online,Weekday
Welcome to the 'Edge computing for hydrophones: Machine learning for in-situ automated analysis of underwater acoustic data' event in the MERIDIAN Winter Webinar Series! In this event, we will be taking
Welcome to the ‘Edge computing for hydrophones: Machine learning for in-situ automated analysis of underwater acoustic data’ event in the MERIDIAN Winter Webinar Series!
In this event, we will be taking a closer look at Edge computing for hydrophones, that is, the development of dedicated hardware and software that can be integrated into hydrophone deployments, allowing for real-time processing of acoustic data in the field. In particular, the discussion will focus on the development and deployment of “light-weight” machine learning models for detecting and classifying marine species. To help us shed light on this exciting subject, we will be joined by an impressive list of speakers (see below) from Canada and the U.S. representing all sectors involved in underwater acoustics research, including academia, government, NGOs, industry, and navy. They will discuss the need for in-situ real-time automated analysis of hydrophone data, identify the main technical constraints (power budgets, transmission bandwidth, computing power, cost, etc), clarify the requirements of end users, and provide examples of current work that utilizes or seeks to develop such capabilities.
List of speakers:
Hilary Moors-Murphy & Harald Yurk, DFO
Adam Comeau, CEOTR
Katie Kowarski, JASCO
Val Veirs, Beam Reach
Fabio Frazao, MERIDIAN
Dugald Thomson or Jeff MacDonnell, DND
Jason Wood & Kaitlin Palmer, SMRU
Agenda will be available soon!
Please RSVP as space is limited to 90 participants. If there is anyone you would like to suggest attending, send their full name and email to firstname.lastname@example.org.
Wednesday, January 13 - 3:30pm 2021 - Wednesday, January 13 - 3:30pm 2021