Maritime service provider KOTUG International, ship design company Rotortug, and tech start-up Captain AI demonstrated Monday the first boat in the world that sails the most optimal route without human intervention, marking a milestone on the way towards fully autonomous sailing.
An alarm buzzes. The marine analytics software at the onshore Maritime Enforcement Agency’s Command and Control (C2) Centre has detected some suspicious movement off the port of Singapore. An oil tanker has shifted its bearings significantly and is charting a course that departs from its historical routes.
e5 Lab Inc., a Japanese joint venture consisting of Asahi Tanker, Exeno, MOL and Mitsubishi, announced it has started development of the ROBOSHIP, an electrically powered vessel with zero emissions, featuring also an integrated system called the “ROBOSHIP BOX,” which brings together telecommunications, Internet of Things (IoT), and software.
Canada’s Port of Montreal revealed plans to leverage the benefits of artificial intelligence (AI), using a new predictive tool to optimize port logistics. The tool is expected to improve the port’s operational planning by positively impacting the transit times for containerized cargo in the supply chain, especially for rail freight.
Logistics service provider Kuehne + Nagel recently launched AI-enabled digital road logistics platform, in order to boost the supply and demand of road logistics through digitalization.
A team of researchers at the University of Bath developed an artificial intelligence (AI) model which is able to automatically classify underwater environments directly from sonar measurements.
On April 15 2020, Fujitsu Limited verified that the results of a joint field trial with the Japan Coast Guard to predict vessel collisions with AI technology were successful. Specifically, the company’s AI technology will be used to detect collision risks early and mitigate the danger of such accidents.
Fujitsu Limited recently released the results of a joint field trial with the Japan Coast Guard on how to predict vessel collisions using artificial intelligence technology. Namely, the trial project started in December 2019 and completed in March 2020.
During the 2020 SMART4SEA Athens Forum, Mr. Mike Konstantinidis, CEO, METIS Cyberspace Technology, addressed in brief the necessity for the digital transformation in the maritime, as well as the contribution of smart technologies such as Artificial Intelligence and Machine Learning in the development of a new era in shipping.
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