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Commentary: How AI and machine learning improve supply chain visibility, shipping insurance - FreightWaves

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The views expressed here are solely those of the author and do not necessarily represent the views of FreightWaves or its affiliates. In this installment of the AI in Supply Chain series (#AIinSupplyChain), we explore how artificial intelligence is being used to help beneficial cargo owners gain greater visibility into their supply chains in order to make it possible for their insurers to more accurately underwrite insurance policies. This article is most directly related to Commentary: Key supply chain innovation issues to consider in a world with VUCA and Commentary: Exogenous variables dominate a world with VUCA. According to IBM, "Supply chain visibility is the ability of stakeholders throughout the supply chain to access real-time data related to the order process, inventory, delivery and potential supply chain disruptions." Sometimes this definition is extended to include access to knowledge about the state of goods in transit.


AI on the high seas: Digital transformation is revolutionizing global shipping

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In the era of automation and digital transformation, the shipping industry is undergoing dramatic changes to increase efficiency and safety at the port and on the high seas. From small boats to massive container ships, these seafaring vessels are integral components of the global economy. Maritime companies are developing the next generation of autonomous ships and leveraging artificial intelligence, machine learning, and more to design 21st-century smart ports. That said, inherent within digital transformation is of course the transformative process itself. Historically, some ports have relied on rather low-tech, manual solutions.


Uncharted Waters: Maritime Blazes a Trail with AI

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Whether shipping organizations work together with huge companies such as Microsoft and Google or one of the many new maritime startups (whose numbers have recently exploded with "more than $3.3 billion …invested in digital startups in the shipping and logistics sector") it appears that shipping is not just ripe for change anymore, it's changing. If you need more convincing, a recent Inmarsat survey of 125 global ship owners found that "ship owners are far more open to deploying IoT tools for analytic, management, and operational purposes than some other industries, including mining and agriculture" and "average expenditure per business on IoT based solutions will amount to $2.5 million over the next three years" while IDC tells us that "The DX (digital transformation) programs that will receive the most funding in 2018 are digital supply chain and logistics automation ($93 billion)". An industry that has often been described as "behind the times" is now proving itself to be quite the opposite. With this in mind, I ask several experts in shipping and maritime innovation and technology, representing both large organizations and startups, to share their thoughts on how they see AI impacting the shipping industry right now.


Global Big Data Conference

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Autonomous vessel software and systems provider Sea Machines Robotics today closed a $15 million funding round to accelerate deployment of its technologies in the unmanned naval boat and ship market. Sea Machines boldly claims this is one of the largest rounds for a tech company tackling marine and maritime use cases. Self-steering vessels aren't a new idea -- but they are gaining steam. Earlier this year, IBM and Promare -- a U.K.-based marine research and exploration charity -- trialed a prototype of an AI-powered maritime navigation system ahead of a September 6th venture to send a ship across the Atlantic Ocean. In Norway, a crewless cargo ship called the Yara Birkeland is expected to go into commercial operation later in 2020.


Sea Machines raises $15 million for autonomous ship navigation

#artificialintelligence

Autonomous vessel software and systems provider Sea Machines Robotics today closed a $15 million funding round to accelerate deployment of its technologies in the unmanned naval boat and ship market. Sea Machines boldly claims this is one of the largest rounds for a tech company tackling marine and maritime use cases. Self-steering vessels aren't a new idea -- but they are gaining steam. Earlier this year, IBM and Promare -- a U.K.-based marine research and exploration charity -- trialed a prototype of an AI-powered maritime navigation system ahead of a September 6th venture to send a ship across the Atlantic Ocean. In Norway, a crewless cargo ship called the Yara Birkeland is expected to go into commercial operation later in 2020.


Silverstream Wins Innovate UK KTP Grant To Advance Machine Learning In Maritime

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Silverstream Technologies, the leading air lubrication manufacturer for the shipping industry, in collaboration with the University of Southampton, has been awarded an Innovate UK Knowledge Transfer Partnership (KTP) grant to advance machine learning in the maritime sector, the organisations have announced today. The two-year partnership will see an Associate of the University of Southampton, secured under the programme, work with Silverstream's Technical Team with the goal to advance machine learning and artificial intelligence within the Silverstream System's control and automation module. The Silverstream System uses air lubrication to reduce frictional resistance between a vessel's hull and the water and delivers fuel savings of 5-10% depending on the vessel and its operating profile. The KTP will aim to increase this saving by analysing operational data taken from installed systems. This data, when combined with cutting edge machine learning techniques, will help to further increase Silverstream System performance during a voyage, with the goal of gaining the theoretical maximum savings associated with the technology every time it is operating.


British treasure finders accused of piracy

Daily Mail - Science & tech

British archaeologists who discovered hundreds of artefacts from a cluster of 17th century shipwrecks in the Mediterranean Sea have had their cargo seized and been accused of an'illicit excavation'. Enigma Recoveries, which led an expedition into the Levantine Basin off the coast of Cyprus, found 12 shipwrecks filled with Chinese porcelain, jugs, coffee pots, peppercorns and illicit tobacco pipes. The ships and their priceless cargo, hailed as the'archaeological equivalent of finding a new planet' were recovered in ancient'shipping lanes' that served spice and silk trades from 300 BC onwards. But in a strongly-worded statement, the Cypriot government accused the company of being well known to both Cyprus and UNESCO for its'illicit underwater excavations' and its'violent extraction of objects causing destruction to their context'. Cyprus's Department of Antiquities accused the company of intending to sell the objects, as allegedly evident in documents filed with the United States Securities and Exchange Commission (NASDAQ).


12 shipwrecks uncovered in the east Med dating from 300 BC

Daily Mail - Science & tech

Archaeologists have found shipwrecks in the Mediterranean filled with hundreds of artefacts including Chinese porcelain, jugs, coffee pots, peppercorns and illicit tobacco pipes. A British-led expedition found a cluster of 12 ships on the sea bed, 1.2 miles below the surface of the Levantine Sea, using sophisticated robots. The ships were recovered in ancient'shipping lanes' that served spice and silk trades of the Greek, Roman and Ottoman empires, from 300 BC onwards. The ancient ships – including the biggest ever found in the Med – were unearthed in a muddy part of the eastern seabed between Cyprus and Lebanon, where remnants are often hard to find. The cluster of shipwrecks were found in the Levantine Basin in the east of the Mediterranean Sea.


Fully Autonomous Ship Starts Trials Ahead of Trans-Atlantic Crossing

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Plans to recreate the 1620 trans-Atlantic journey of the Mayflower colony ship with a fully autonomous, crewless vessel are one step closer, as IBM begins trials of the ship's AI "captain" in a project that could set the scene for future crewless cargo shipping. The Mayflower Autonomous Ship (MAS) project undertaken by IBM, the University of Plymouth and marine research firm ProMare aims to create the world's first fully-sized autonomous research vessel that will cross the Atlantic this September. For the last two years an AI model has been trained using a million nautical images collected from open source data sets. In order to process this database, a team in Plymouth are using an IBM Power AC922 server fitted with Nvidia V100 Tensor Core GPUs. Upon completion the ship itself will be fitted with an IBM Power System accelerated server that will be tasked with helping the AI captain act independently on the high seas.


Real-Time target detection in maritime scenarios based on YOLOv3 model

arXiv.org Machine Learning

In this work a novel ships dataset is proposed consisting of more than 56k images of marine vessels collected by means of web-scraping and including 12 ship categories. A YOLOv3 single-stage detector based on Keras API is built on top of this dataset. Current results on four categories (cargo ship, naval ship, oil ship and tug ship) show Average Precision up to 96% for Intersection over Union (IoU) of 0.5 and satisfactory detection performances up to IoU of 0.8. A Data Analytics GUI service based on QT framework and Darknet-53 engine is also implemented in order to simplify the deployment process and analyse massive amount of images even for people without Data Science expertise.