Goto

Collaborating Authors

Marine


Uncharted Waters: Maritime Blazes a Trail with AI

#artificialintelligence

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

#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.


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

#artificialintelligence

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.


DAS: Intelligent Scheduling Systems for Shipbuilding

AI Magazine

Daewoo Shipbuilding Company, one of the largest shipbuilders in the world, has experienced great deal of trouble with the planning and scheduling of its production process. To solve the problems, from 1991 to 1993, Korea Advanced Institute of Science and Technology (KAIST) and Daewoo jointly conducted the Daewoo Shipbuilding Scheduling (das) Project. To integrate the scheduling expert systems for shipbuilding, we used a hierarchical scheduling architecture. To automate the dynamic spatial layout of objects in various areas of the shipyard, we developed spatial scheduling expert systems. For reliable estimation of person-hour requirements, we implemented the neural network-based person-hour estimator.


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.


How can ports use Artificial Intelligence? - Port Technology International

#artificialintelligence

The challenge of handling an ever increasing amount of cargo in a safe, efficient and environmentally friendly way is the biggest questions facing ports and wider maritime industry. Not only are more vessels calling at ports but those vessels are also getting bigger, along with the amount of data being created and stored. That data is a challenge in itself, as is finding the best ways to utilise it. Ports are more often than not looking to artificial intelligence (AI) as a way forward – but what is AI and how does it benefit ports? AI is transforming transportation at sea, on land and in the air.


Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

arXiv.org Machine Learning

The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade. Monitoring vessel behavior is fundamental to safeguard maritime operations, protecting other vessels sailing the ocean and the marine fauna and flora. Given the enormous volume of vessel data continually being generated, real-time analysis of vessel behaviors is only possible because of decision support systems provided with event and anomaly detection methods. However, current works on vessel event detection are ad-hoc methods able to handle only a single or a few predefined types of vessel behavior. Most of the existing approaches do not learn from the data and require the definition of queries and rules for describing each behavior. In this paper, we discuss challenges and opportunities in classical machine learning and deep learning for vessel event and anomaly detection. We hope to motivate the research of novel methods and tools, since addressing these challenges is an essential step towards actual intelligent maritime monitoring systems.


Fully Autonomous Ship Starts Trials Ahead of Trans-Atlantic Crossing

#artificialintelligence

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.