Large Language Models (LLMs) have demonstrated substantial potential in addressing complex reasoning tasks, yet their general-purpose nature often limits their effectiveness in specialized domains such as maritime navigation. To bridge this gap, we introduce Llamarine, the first open-source LLM designed specifically for maritime navigation. Llamarine 1.0 is developed through continued pretraining and fine-tuning on a high-quality corpus comprising maritime textbooks, research publications, and web text from Wikipedia. This domain-specific training enables the model to acquire expert-level knowledge in navigational principles, collision avoidance, route optimization, and regulatory compliance. Our key contributions include (a) the curation of a comprehensive maritime dataset from authoritative sources, ensuring depth and reliability in the model's knowledge base; (b) the development of a foundational model capable of reasoning about complex navigational challenges with greater accuracy than general-purpose LLMs; and (c) the establishment of a benchmark to evaluate performance in maritime-specific decision-making tasks. Experimental results demonstrate that Llamarine outperforms both general-purpose and commercial LLMs in critical navigation-related tasks, such as trajectory planning, risk assessment, and compliance with maritime regulations. By providing an open-source foundation model trained exclusively on high-quality maritime literature, Llamarine paves the way for AI-driven advancements in maritime safety, efficiency, and operational decision-making.

Windward has announced the launch of the Windward Vessel Fuel Consumption API, an artificial intelligence-powered system providing fuel consumption assessments to allow maritime stakeholders to optimise chartering decisions and manage their carbon footprint. The service is based on a deep learning model that calculates and assesses the fuel consumption of any given tanker using multiple data sources, inputs, and behavioural features, including speed, meetings, port calls, weather conditions, hull fouling, engines, and fuel types, with more than 10 years of historical voyage data. The company says that the system can deliver assessments with up to 95% accuracy on average per voyage, provided with actionable insights to support further decision making. The datasets were built, tested and verified in collaboration with companies participating in Windward's Data for Decarbonisation Programme (D4D), a partnership aimed to increase transparency and foster collaboration within the maritime industry by leveraging the power of big data and AI to decrease carbon emissions. The service is seen as a supplementary digital source of fuel consumption data alongside noon reports, which typically involve the crew measuring and reporting data manually, making the report susceptible to human error and potential falsification.

Mentions of artificial intelligence within the filings of companies in the maritime industry rose 67% between the first and second quarters of 2022. In total, the frequency of sentences related to artificial intelligence between July 2021 and June 2022 was 295% higher than in 2016 when GlobalData, from whom our data for this article is taken, first began to track the key issues referred to in company filings. When companies in the maritime industry publish annual and quarterly reports, ESG reports and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Artificial intelligence is one of these topics - companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges. To assess whether artificial intelligence is featuring more in the summaries and strategies of companies in the maritime industry, two measures were calculated.

Mentions of artificial intelligence within the filings of companies in the maritime industry rose 33% between the third and fourth quarters of 2021. In total, the frequency of sentences related to artificial intelligence during 2021 was 268% higher than in 2016 when GlobalData, from whom our data for this article is taken, first began to track the key issues referred to in company filings. When companies in the maritime industry publish annual and quarterly reports, ESG reports and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Artificial intelligence is one of these topics - companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges. To assess whether artificial intelligence is featuring more in the summaries and strategies of companies in the maritime industry, two measures were calculated.

As the technology improves all around us, the dependence of humans on machines has increased over time admirably. The term'Artificial Intelligence' or AI was adopted first in the year 1956 by John McCarthy, an American Computer Scientist at the Darthmouth Conference. Since then, Artificial Intelligence has evolved over the years such that today, there are infinite uses of Artificial Intelligence and Machine Learning from manufacturing sectors to academics, healthcare, telecommunication and Academics. Before Learning about Autonomous Shipping, let us learn about the basics or the fundamental pillars that autonomous shipping is based on. Artificial Intelligence (AI) is the simulation of human intelligence by machines.

Artificial intelligence could one day organize the world. As if in anticipation of this, a maritime platform developer called Orca AI has just begun a research trial of new safety systems for autonomous ships, equipping a vessel with artificial intelligence that recognizes other ships to safely guide it through busy sea traffic, according to a recent press release from the company. Orca AI was founded in 2018 by a pair of naval tech experts, and designs software platforms with extreme specificity for maritime vessels. The firm blends existing safety systems with sensors to enhance the navigation and safety of vessels making their way through crowded (and sometimes dangerous) waterways. Orca AI is headquartered in Israel, and aims to link sea-bound vessels with 24/7 land-based AI insights.

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.

Artificial intelligence will soon be making a career in the maritime industry: Because specialist personnel and cargo space are scarce and transport costs are high, more and more ship owners are relying on ships with state-of-the-art assistance systems and autonomous driving functions. Autonomous ships will get by completely without captain and crew. When autonomous vessels plough through the waves in the future, the history of ghost ships will have to be rewritten. Legends like the Flying Dutchman and the Marie Celeste have one thing in common. Both vessels had a crew on board before fate befell them in the vastness of the oceans.

Gard's mission is: Together we enable sustainable maritime development. To deliver on this mission, we explore and support the development of emerging technologies including maritime autonomous surface ships. The Nordic countries are leading the way in this area and we are proud to be collaborating with Yara International (Yara) and their newly established company Yara Birkeland AS that is developing the well-known Norwegian autonomous logistics project, YARA BIRKELAND. Construction of the zero-emission autonomous containership has already begun. When the ship enters service in early 2020, she will be operated by onboard crew while the autonomous systems are being tested and certified safe.

ARX Maritime, Chief Executive, Josh Hutchinson looks at how artificial intelligence is impacting the maritime industry and questions whether one day, artificial intelligence could take over from human intelligence completely. There is a "D" word in the maritime industry that won't be going away any time soon. It's the process of questioning existing methods and practices to make them more efficient with the use of digital technology. Although it's often associated with futuristic ideals, digitalisation is nothing new, the term has been around since the late 1950s, starting with digital computers and digital record keeping. Since then, we've accepted and embraced it, and have become steadily more dependent on it.