The pilot project of the Swedish ferry company, Stena Line, using artificial intelligence (AI) technology in order to predict the most fuel-efficient way to operate a vessel is saving fuel on the company’s ships. In particular, the software, which is named Stena Fuel Pilot, is expected to be installed during autumn, on five more Stena Line vessels. Moreover, the company states that its ambition during 2020, is to promote the technology across its 37 vessels operating in Europe.
Japanese MOL and SenseTime Japan Ltd. developed a new vessel image recognition and recording system, which deploys artificial intelligence to recognize surrounding vessels. The video shows the system’s installation for demonstration testing aboard the cruise ship “Nippon Maru” operated by MOPAS.
Nautilus Labs has secured USD 11 million in Series A funding led by M12, Microsoft’s venture fund, along with Root Ventures. Existing and new investors including Quiet Capital, Trail Mix, and Amplifier Lab participated in the round, which brings Nautilus’ total funding raised to USD 14.5 million.
Japanese MOL announced that it has joined forces with Mitsui E&S Shipbuilding Co., Ltd. and Weathernews Inc. to launch the Fleet Optimal Control Unified System (FOCUS), a project that will gather and apply ship operation data to ensure safer, more environmentally friendly ocean transport.
Stena Line announced that it will conduct a pilot study in which artificial intelligence will be implemented on board. The new AI technology will be added onboard ‘Stena Scandinavica’. The model will present the most fuel efficient way of operating a vessel on a particular route.
MOL has concluded a technology consulting agreement with Professor Tomoharu Nagao of the Yokohama National University Graduate School of Environment and Information Sciences, who is the creator of the next-generation AI advanced machine learning and the percolative learning method.
French CMA CGM announced collaboration, since the beginning of the year, with San Francisco-based startup company Shone, specializing in the use of artificial intelligence for maritime transportation. The collaboration enables Shone to finalize the development of artificial intelligence systems onboard container ships.
JRCS, a Japanese maritime services company, and Microsoft launched an ambitious plan to digitally transform the global shipping industry. JRCS will use Mixed Reality, the Internet of Things, and AI to train shipping crews, maintain ships, and improve navigational safety standards.
UK-based University of Aberdeen, WFS Technologies, and OGIC launched a joint technology project to design and construct the world’s first ExtremeEdge OLM (On-line Monitoring) system for offshore subsea and platform structures. The cooperation seeks to deliver the first generation of real time fatigue monitoring system driven by AI.
Aberdeen’s Oil & Gas Innovation Centre has invested £300,000 in three new projects, which aim to improve efficiency and reduce costs in the oil and gas industry. The projects include an Intelligent Hydrate Tool, a new remote monitoring and analytics system and a flow control device to identify changes in fluids.
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