NSIN - National Security Innovation Network’s Post

In this recently published article, which I had the honor of co-authoring, we explore the pivotal role AI plays in revolutionizing the mapping of global fishing activity. AI systems hold tremendous potential for enhancing transparency in ocean governance and providing more accurate scientific insights. However, as powerful as these technologies are, they must be complemented by human oversight to ensure ethical use and to prevent biases in AI-generated outcomes. This balance between innovation and responsibility is key to the future of sustainable ocean management.

My first task is to Train ML model to classify iris species. #oasisinfobyte #datascience

🌊 Innovative Marine Research Alert! Big Shout out to our partner Global Fishing Watch! Their latest study with AI and satellite imagery reveals extensive human activity at sea. Groundbreaking findings uncover hidden industrial fishing, emphasizing the need for ocean sustainability. Hats off to Global Fishing Watch for this monumental work! Read more about it here #MarineConservation #AI #Innovation #Sustainability #Partnership

Satellite imagery and machine learning reveal a vast, undocumented dark fishing industry #Aerospace #AI #AIS #artificialintelligence #darkfishingindustry #ecologicalmonitoring #fishingvessels #GlobalFishingWatch #Illegalfishing #llm #machinelearning #marineecosystems #maritimeindustry #oceanconservation #opendataplatform #policymaking #protectedareas #Satelliteimagery #Sustainability #vesseltracking

AI helps identify a mysterious deep ocean sound. NOAA Fisheries identified that Bryde’s whales are the source of a new whale call in the North Pacific. Working with Google #AI, they used #machinelearning. #nature #science #artificialintelligence

🔥 🖥 California's wildfires are growing more severe, fueled by dry weather and human activity. As traditional firefighting methods struggle to keep up, cutting-edge technologies are stepping in. Discover how AI, drones, and machine learning are revolutionizing wildfire detection, prediction, and management. From real-time aerial views to predictive models, these innovations offer new hope in the battle against devastating blazes. Explore the challenges and collaborative efforts needed to harness these tools and protect communities and ecosystems in our latest blog by Ecology/GIS Intern, PeaceIbisia Jack: https://lnkd.in/ggCNEecf #wildfiredetection #ai #dronemonitoring #dronemapping #wildfiremanagement #ecologicalconsulting #ecology #california

The order odonata is divided into two categories; Zygoptera and Anisoptera. Anisoptera includes the dragonflies, and zygoptera includes the damselflies. This is a dragonfly. They have holoptic eyes (both the eyes touch each other at the centre of the head). Wings are held horizontally at rest, around 90° from the body. And the wings have a broad base making them strong fliers. Dragonflies are important predators that feed on flying as well as aquatic insects. They belong to suborder- anisoptera and order odonata. They have three life stages- egg, naid(immature aquatic stage) and adults. They are also referred to as paleopterans as they lack wing flexing(unable to fold their wings at rest), and have numerous veins and cross-veins. One of the most important features is the presence of pterostigmata (black spots) at the coastal veins (anterior part of wings) on both pairs of wings. LPU School of Agriculture #lpuentomology #odonata # dragonfly #anisoptera #predator

Excited to share the publication of our review paper on advancing wildlife monitoring using satellite imagery and deep learning! 🌍🛰️🐘 https://lnkd.in/gh7g6ARs 🔍 Through a systematic review, we analyzed the use of satellite imagery and the methods developed for wildlife detection, counting, and surveys across various biomes. Our findings reveal a growing trend in publications, with mammals and birds being the primary focus in polar/alpine and pelagic ocean waters biomes. ⏳ Despite progress, we identified three key bottlenecks hindering the development of on-demand operational approaches for wildlife surveys. In response, we propose and discuss research priorities including wildlife-dedicated satellite constellations, increased data accessibility, or deep learning model integration. 🐘 Our study aims to provide a roadmap for advancing remote sensing in wildlife monitoring, paving the way for transformative survey strategies in the decades ahead. ✉ Feel free to contact me for any questions, experience sharing or further information! Huge thanks to the co-authors: Jerome Theau, Samuel Foucher, Philippe Lejeune, Ghazaleh Serati and Simon Durand, to the funders: F.R.S. - FNRS and CRSNG, and to Gembloux Agro-Bio Tech, Université de Liège, and Université de Sherbrooke for their support. #wildlife #wildlifemonitoring #wildlifeconservation #wildlifesurvey #remotesensing #satellite #satelliteimagery #veryhighresolutionsatellite #deeplearning #artificialintelligence #machinelearning

Check out the latest episode of Focus on Vision, #visionsystemsdesign's video newscast. It features a system to evaluate live feed used to nurture farm raised fish and shrimp, the inspection of optical solar reflectors used on solar panels of space satellites, and a system to inspect sweet potatoes. Michigan State University Thales Alenia Space INVE Aquaculture #machinevision #focusonvision

Why choose Möbius for marine mammal detection? 🌊 Our advanced AI tool goes beyond the basics, offering unparalleled accuracy and support. Unlike other solutions, Möbius Observer is designed to overcome the limitations and frustrations of free tools, providing expert-backed, reliable results. Curious to see how it compares? Follow the link below to see how we stack up against other available tools 👇 https://bit.ly/4crN5j2 #TechForGood #ArtificialIntelligence #EnvironmentalSustainability #MarineConservation #PositiveImpact #sdg13 #sdg14 #WhaleSeeker #Möbius