In recent years, there has been a significant shift in the way seafloor research is conducted, all thanks to the groundbreaking advancements in artificial intelligence (AI) technology. The depths of our oceans have always been a mystery, but with the use of AI, scientists and researchers are now able to explore and uncover the hidden secrets that lie beneath the surface.
With funding from the Department of Defense, University of Delaware oceanographer Art Trembanis and others are are using artificial intelligence and machine learning to analyze seafloor data from the Mid-Atlantic Ocean. The goal is to develop robust machine-learning methods that can accurately and reliably detect objects in seafloor data.
“You can fire up your phone and type dog, boat or bow tie into a search engine, and it's going to search for and find all those things. Why? Because there are huge datasets of annotated images for that,” he said. “You don't have that same repository for things like subway car, mine, unexploded ordnance, pipeline, shipwreck, seafloor ripples, and we are working to develop just such a repository for seabed intelligence.”
Trembanis is able to talk about this research and the impact it could have on our day to day lives. He can be contacted by clicking his profile.
“You have commercial companies that are trying to track pipelines, thinking about where power cables will go or offshore wind farms, or figuring out where to find sand to put on our beaches,” said Trembanis. “All of this requires knowledge about the seafloor. Leveraging deep learning and AI and making it ubiquitous in its applications can serve many industries, audiences and agencies with the same methodology to help us go from complex data to actionable intelligence.”
He has appeared in The Economic Times, Technical.ly and Gizmodo.
