Artificial Intelligence News

(Photo: Rovco)

Rovco Nets $6.5 Mln Investment

Subsea technology firm Rovco announced it has secured £5 million ($6.5 million) in new funding to support international expansion and continued development of 3D computer vision and artificial intelligence (AI) subsea technology.The funding includes a £3.9 million ($5.1 million) Series A investment from Foresight group via the Foresight Williams Technology EIS Fund and Foresight VCTs as part of a larger round including funds from existing shareholders.Formed in 2015, Rovco has invested  heavily in the development of an AI driven data platform and live 3D vision systems for subsea

(Photo: NOAA)

NOAA, Ocean Infinity Form Research Partnership

important ocean information to those who need it most from ocean areas we know the least. This work will enhance our mission in science, operations and engineering.”“This new partnership will help us more efficiently execute NOAA’s mission to advance unmanned drone systems and artificial intelligence to explore and map the U.S. EEZ,” said Neil Jacobs, Ph.D., acting NOAA administrator. “Data and information about the ocean help our nation advance our Blue Economy, including maritime commerce, domestic seafood production, healthy and sustainable fisheries, coastal resilience

NUI is lowered into the Aegean Sea before plunging to a depth of 500 meters to explore Kolumbo volcano. (Photo by Evan Lubofsky, © Woods Hole Oceanographic Institution)

WHOI Robot Takes First Known Automated Sample from Ocean

automation technology as part of NASA’s Planetary Science and Technology from Analog Research (PSTAR) interdisciplinary research program. “One of our goals was to toss out the joystick, and we were able to do just that.”Slightly smaller than a Smart Car, NUI was equipped with Artificial Intelligence (AI)-based automated planning software—including a planner named ‘Spock’—that enabled the ROV to decide which sites to visit in the volcano and take samples autonomously.Gideon Billings, a guest student from the University of Michigan whose thesis research focuses

(Image: Kraken)

Kraken Wins Canadian Government Contract

of the HMS Erebus during the Franklin Expedition in Summer 2014.The SeaVision system delivers real-time, full color 3D point cloud images of subsea infrastructure with millimeter accuracy. These datasets create highly detailed models for 3D visualization to support complex machine learning and artificial intelligence algorithms used for analytics. SeaVision simplifies creating dynamic digital models of subsea physical assets and systems. This helps build and operate digital twin applications to gain knowledge and insights about performance of future operations.Karl Kenny, Kraken President & CEO said

(Image: DEME)

Autonomous Trash Collector Deployed on the River Scheldt

in cooperation with the University of Antwerp and the Institute for Nature and Forestry Management (Instituut voor Natuur- en Bosbeheer).The mobile installation consists of a smart detection system, a workboat that can navigate autonomously and a charging point. Floating waste is detected using artificial intelligence (AI) by smart cameras that are installed on the old Temse bridge. An autonomously navigating workboat, the Marine Litter Hunter, intercepts waste and pushes it to a collection pontoon. The waste is collected in the collection pontoon, where a crane equipped with a grab transfers the waste

Image: Mitsui O.S.K. Lines, Ltd.

MOL Develops Engine Diagnosis Application

safe operation and reduce environmental impact through advanced information and communications technology (ICT).The four companies will unite to develop a system called "Fleet Guardian," which encompasses a new implementation of Explainable AI (XAI), the most advanced human-friendly artificial intelligence.Fleet Guardian is expected to eliminate vessel downtime and further improve the level of safe operation by enabling crewmembers and shoreside staff to share information on a vessel's engine status in a timely manner.The goal of the Fleet Guardian project is to establish a system that

© glimpseofsweden / Adobe Stock

Protecting Subsea Cabling

how expensive these issues can prove.Fortunately, ‘Distributed Acoustic Sensing’ (DAS) technology provides a ready-made solution for the offshore wind industry to monitor and protect these crucial cables.Clarity and confidenceBy harnessing cutting-edge photonics, advanced artificial intelligence and edge computing, DAS converts subsea cables into an ecosystem of highly-sensitive, individual vibrational sensors, enabling the successful detection and classification of a wide range of threats.DAS identifies, with clarity and confidence, the different disturbances that impact cabling

Photo: Coda Octopus

New Seabed Classification Software Launched

has released the beta version of its software package for automated seabed classification. Integrated within the Survey Engine range, the software automatically interprets users' sidescan sonar data to detect and classify different seabed types.The seabed classification module uses AI (artificial intelligence) based methods to detect and classify seabeds in both type and geopgraphical extent  from sidescan sonar data. The extent boundaries are instantly visible to the user for validation and QC and can then be exported for use in chart and map generation, direct import to the users chosen

Technology Outlook 2030 (stills from video). Image: DNV GL

10 Tech Trends to Impact Shipping Industry

our personal and societal assumptions, according to DNV GL, the global risk management and quality assurance company.The report 'Technology Outlook 2030' said that the relationship between humans and technology is switching, with humans increasingly augmenting the decisions of artificial intelligence, rather than the other way around.For example, in the next decade there will be a greater proliferation of autonomous vehicles, whilst energy production and transmission will increasingly become the domain of algorithms rather than people.The next ten years will also be defined as an era

Pic: CargoSmart

CargoSmart Intros Connected Reefer Solution

substantial in reefer container PTI costs after adopting the solution, while reefer sales increased during the same period.CargoSmart Connected Reefer Solution is a leading product under CargoSmart’s AI-driven IoT product series for supply chain management, named SAIOT (Supply-Chain Artificial Intelligence Internet of Things). The solution is powered by an IoT device that was co-developed by CargoSmart and Shanghai Maritime University.The device is equipped with built-in multiple sensor capabilities including the detection of container temperature, humidity, location, environment, motion,

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