Artificial Intelligence News

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,

 Image: Heriot-Watt University

ORCA Hub Readies Drones for Offshore Energy

University, working with 35 industrial and innovation partners, has unveiled the latest results from its research collaboration.The largest academic center in the world for research into robotics technology for offshore energy infrastructure, the ORCA Hub’s aim is to advance robotics and Artificial Intelligence technologies for the inspection, repair, maintenance and certification of offshore energy platforms and assets.Creating solutions to some of the most challenging, hard to reach and hazardous real-world problems in the energy sector, ORCA Hub was launched in October 2017. It forms part of

About the Author: Jans Aasman is a Ph.D. psychologist, expert in Cognitive Science and CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of AllegroGraph, the leading Semantic Graph Database.

The Importance of FAIR Data in Earth Science

for implementation. This approach delivers the same benefit when applied to contemporary organizations: an increase in data’s value as an enterprise asset. About the AuthorJans Aasman is a Ph.D. psychologist, expert in Cognitive Science and CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of AllegroGraph, the leading Semantic Graph Database. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in-hand with numerous Fortune 500 organizations as well as U.S. and foreign government

L- R: Tony Laing of NSRI, David Rennie of Scottish Enterprise and Neil Gordon of Subsea UK.(Photo: Subsea UK)

Japan, Scotland Invest $25.6m for 'Blue Economy'

their near-to-market technology to solve technical challenges in offshore renewables, carbon capture and storage and oil and gas.Under the six projects, these companies will collaborate with industry bodies and universities to develop innovations in mooring, installation systems, geoscience and artificial intelligence.The additional funding has been secured as a result of the success of the first call, promoted by this partnership, which saw $10.7 million invested into five R&D projects centered around digitalization involving 12 companies.Neil Gordon, chief executive of Subsea UK, said: “Globally

Subsea 7 Acquires 4Subsea

risk, cost and providing actionable insights.”An early priority project will be a joint effort between Subsea 7 and 4Subsea toward monitoring of key operational data on Subsea 7 vessels, contributing to the digitalization of its marine operations. With the use of advanced algorithms and artificial intelligence, 4Subsea will deliver key insights and decision support with digital twins, in order to optimize these activities.Jenkins said the integration provides an opportunity for 4Subsea to scale its technology and services to a larger market.“We aim to combine our ability to deliver quick

Pic: Navis

Navis Survey Acclaims AI

Global container terminals are expected to embrace automated decision making powered by artificial intelligence (AI) as they pursue ways to improve operational consistencies and enhance equipment utilization.According to  TechValidate customer survey by Navis, 88% of respondents indicated that automated decision making will be very if not extremely important for the future of innovation at terminals.Further, 83% plan to increase their AI investments over the next one-to-three years, signaling growing confidence in the use of innovative technologies to improve terminal efficiencies and gain

© Jakub Jirsák/Adobe Stock

The Importance of FAIR Data in Earth Science

for implementation. This approach delivers the same benefit when applied to contemporary organizations: an increase in data’s value as an enterprise asset. About the AuthorJans Aasman is a Ph.D. psychologist, expert in Cognitive Science and CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of AllegroGraph, the leading Semantic Graph Database. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in-hand with numerous Fortune 500 organizations as well as U.S. and foreign government

Sample display image from the vessel recognition/recording system. Photo: MOL

MOL Tests FOCUS EYE Project

recognition and recording system, and the system’s installation for demonstration testing aboard the cruise ship "Nippon Maru" operated by Mitsui O.S.K. Passenger Line.The system’s graphic recognition engine was developed by incorporating MOL’s knowledge and applying artificial intelligence (AI) deep learning technology, allowing it to recognize surrounding vessels.The system recognizes and automatically records vessels with high accuracy using a terminal equipped with a graphic processing unit (GPU) and ultrahigh-resolution cameras.The image recognition technology, which can

MIT’s fleet of robotic boats has been updated with new capabilities to “shapeshift,” by autonomously disconnecting and reassembling into different configurations to form various floating platforms in the canals of Amsterdam. In experiments in a pool, the boats rearranged themselves from a connected straight line into an “L” (shown here) and other shapes.
Image Credit: MIT

ROBOATS: MIT's Shape-Shifting Autonomous Boats

; which could be dozens — and differences between the two shapes.“We’ve enabled the roboats to now make and break connections with other roboats, with hopes of moving activities on the streets of Amsterdam to the water,” says Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science. “A set of boats can come together to form linear shapes as pop-up bridges, if we need to send materials or people from one side of a canal to the other. Or, we can create pop-up

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