AI to Optimize Vessel Performance
Initiated in August 2020, the Via Kaizen project explores how AI and machine learning can enable more energy-efficient voyage planning for ship operators.
Read moreTag Archives: machine learning
Machine Learning for Ship ID System
Charles River Analytics has received a $1.8 million contract to classify and identify ships and other vessels at sea.
Read moreShifts Project Launches to Study Distributional Shift for Decarbonization
DeepSea Technologies, an Al-led maritime technology company and energy efficiency expert, has partnered with other entities in the field of AI to launch the Shifts Project. The international collaboration of academic and industrial researchers is dedicated to studying and solving problems associated with distributional shift for real-world impact.
Read moreReefCloud: Open-Access Global Reef Monitoring
Reef scientists across the Pacific have worked together to create a digital tool that uses machine learning and advanced analysis to rapidly extract and share data from images of coral reefs anywhere in the world.
Read moreSeaClear Project Develops Robots to Pick Up Litter Underwater
As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste underwater. The seas and oceans currently contain somewhere between 26 million and 66 million tonnes of plastic waste, most of which is lying on the seafloor. This represents an enormous threat to marine plants and animals and to the ecological balance of the seas.
Read moreIntegrating Machine Learning for Fleet Management
i4 Insight, creators of a platform that provides a single point of access for multiple data streamsand applications, providing a holistic view of ship and fleet operations, is partnering withGreenSteam, a leader in vessel-based machine learning for hull and improved vesselperformance. This partnership looks to provide solutions that will help drive reductions ingreenhouse gas emissions and cut operating costs. The
Read more