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Mythos AI showcases self-driving vessel used to map underwater areas Mythos AI, a marine technology company, has introduced "Archie," an advanced self-driving vessel designed to map underwater areas near major ports and harbors. Demonstrated at the The Port of Gulfport, Archie exemplifies the potential of AI in enhancing the Gulf Coast's Blue Economy. During a recent demonstration, the crew successfully rescued an injured pelican, showcasing their commitment to both technology and environmental stewardship. Mythos AI's team, with a background in developing self-driving technology for leading commercial and government entities, has commissioned over 40 autonomous marine crafts, including projects for the US Navy. Their mission is to create a safer, more efficient maritime sector through autonomous navigation, powered by a cloud-based data platform. Mythos AI invites collaboration from other industry leaders to drive forward a more sustainable and equitable future in maritime operations. Read more here (WLOX-TV ABC CBS Bounce): https://lnkd.in/eKADJ2iN #MaritimeTech #AI #BlueEconomy #AutonomousVessels #EnvironmentalStewardship #ArtificialIntelligence #Mythos #MythosAI #Maritime #SelfDriving #Vessel #Underwater #Archie #Gulfport #Mississippi

📢 New Publication Alert from MarRI-Lab! We're pleased to share our latest research paper, "Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety" published in Ocean & Coastal Management. 🎉 Congratulations to all the authors: Chengbo Wang, Xinyu Zhang, Hongbo Gao, Musa Bashir, Huanhuan Li, Zaili Yang! Abstract: Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human errors, and to improve maritime traffic safety. However, MASS navigation in complex maritime traffic presents challenges, especially in collision avoidance strategy optimization (CASO). This paper proposes a novel risk-based CASO approach based on safe reinforcement learning (SRL) with a reliability and risk hierarchical critic network (SRL-R2HCN) approach. Key steps in developing the approach start with the formulation of collision risk assessment. This is followed by the construction of a hierarchical network structure, supplemented by the supporting reward function, multi-objective function, and reliability measurement to realize the SRL-R2HCN. Finally, simulation experiments are conducted in mixed obstacle scenarios, and the results are compared with traditional algorithms to showcase the advancement and fidelity of the new SRL-R2HCN method. The results demonstrate that the proposed method can accurately assess collision risks in mixed obstacle scenarios and generate safe, efficient, and reliable collision avoidance strategies. The outcomes of this research provide a sound theoretical basis for the future development of MASS navigation safety and significant potential to improve the safe and efficient operations of MASS. Furthermore, the methodology could also benefit maritime transportation and shipping management. 🔗 https://lnkd.in/eBgdkqfy #CollisionAvoidanceDecisionMaking #CollisionRisk #SafeReinforcementLearning #MaritimeTrafficSafety #MaritimeAutonomousSurfaceShip #MASS

We're thrilled to share our latest research paper titled 'Optimizing Anti-Collision Strategy for MASS: A Safe Reinforcement Learning Approach to Improve Maritime Traffic Safety'. This work introduces innovative strategies and solutions to enhance maritime safety and traffic management. Here are some key contributions from our research: (1) Advanced Collision Avoidance Optimization: We propose a state-of-the-art collision avoidance strategy using a safe reinforcement learning approach integrated with a hierarchical framework. This method effectively addresses both collision risk assessment and COLREGs constraints, ensuring safer maritime operations. (2) Enhanced Reward Functions: We’ve developed new strategy optimization reward functions, incorporating both external revenue signals and internal incentives. This multi-objective approach improves the interpretability, safety, and reliability of the algorithm, with experimental results highlighting its effectiveness in enhancing the performance of anti-collision strategies. (3) Innovative Reliability Assessment Module: Our novel reliability assessment module, featuring Dispersion across Time (DT) and Long-term Risk across Time (LRT), provides a unique methodology for evaluating the reliability of risk-based collision avoidance decisions. This module supports the transition of learning-based methods from simulation to real-world applications, offering a valuable tool for maritime traffic safety management. We believe these advancements will significantly contribute to safer and more efficient maritime operations. 🚢🌊 #MaritimeSafety #ReinforcementLearning #CollisionAvoidance #MaritimeTraffic #ResearchInnovation #SafeNavigation #AI #MachineLearning

🌊 Exciting News! Introducing Aquanaut – Your Expert Submarine Drone for Ocean Exploration 🌊 Dear LinkedIn Community, I am thrilled to announce the creation of Aquanaut, a state-of-the-art submarine drone designed to improve the way we explore and navigate the oceans. As a specialized GPT (Generative Pre-trained Transformer), Aquanaut is equipped with extensive knowledge in marine life, oceanography, and submarine technology. 🔍 What Can Aquanaut Do? - Marine Life Expertise: Detailed information on various marine species and ecosystems. - Oceanography Insights: Understanding of oceanic phenomena, currents, and underwater geography. - Submarine Technology: Guidance on the latest in submarine and ROV technology. - Certifications & Standards: Knowledge of key certifications (ABS, DNV, LR, BV, IMO, USCG) and ISO standards (ISO 13628, ISO 14001, ISO 9001, and more). 🚀 How Can Aquanaut Assist? - Underwater Navigation & Exploration: Tips and strategies for effective marine research. - Marine Research Guidance: Support for scientific exploration and data collection. - Educational Resource: A wealth of information for students, researchers, and enthusiasts. Aquanaut is here to support and enhance your underwater adventures, ensuring you have the best information at your fingertips. I am incredibly excited about the potential of Aquanaut and look forward to seeing how this innovative tool can assist the marine community. 🌐 Connect with me to learn more about Aquanaut and how it can benefit your projects and research. #OceanExploration #MarineResearch #SubmarineTechnology #ROV #UnderwaterExploration #Oceanography #MarineLife #SubseaEngineering #ISOStandards #Innovation #Aquanaut #OpenAI #chatgpt #gpt #gpt4o #chatgpt4

 🌊 Blue wAIve Company Spotlight: SeaDeep 🌊 We’re excited to feature #BluewAIve Accelerator participant, SeaDeep, a intelligence company revolutionizing underwater computer vision with their sensor-agnostic AI solutions. By offering services across the value chain, from data collection and cloud processing to advanced image analytics and real-time insights, SeaDeep enables any underwater camera, imaging sensor, ROV,or AUV to autonomously classify subsea objects and materials, setting new standards in undersea, maritime visual perception. As part of their participation in the #BluewAIve program, we are excited to support SeaDeep explore new applications of their technology in marine environmental monitoring and underwater inspections. 🐠 The Impact? SeaDeep's innovative approach promises to significantly reduce the carbon footprint of subsea inspections, enhance damage detection capabilities in critical infrastructure, prevent costly environmental damages, and support sustainable ecosystem management. Curious to learn more? Check out SeaDeep's recent write up in TuftNow: https://lnkd.in/gy4ydeMF Gulf of Maine Research Institute The Roux Institute at Northeastern University Institute for Experiential AI at Northeastern University #BluewAIve #CompanySpotlight #SeaDeep #UnderwaterVision #AIInnovation #SustainableSeas #MarineConservation

Radar Systems: Revolutionizing Navigation and Collision Avoidance in Maritime Operations As a maritime professional with a background in nautical science and experience as a second officer, I've witnessed firsthand how advancements in technology can transform the way we navigate and ensure safety at sea. Radar, an acronym for Radio Detection and Ranging, has been a pivotal tool in maritime navigation since its inception. These systems emit radio waves that bounce off objects and return to the radar antenna, providing critical information about the distance, speed, and direction of other vessels and obstacles. One of the most significant benefits of radar systems is their ability to enhance collision avoidance. In busy shipping lanes or congested port areas, the risk of collision is a constant concern. Radar systems offer a clear picture of the surrounding environment, allowing for timely and informed decisions to be made. Moreover, modern radar systems are equipped with advanced features like Automatic Radar Plotting Aids (ARPA), which automatically track multiple targets and predict their future positions. This capability not only reduces the workload on the bridge but also enhances situational awareness, making navigation more efficient and safer. In addition to collision avoidance, radar systems play a crucial role in search and rescue operations. Their ability to detect and track objects in the water, even in challenging conditions, makes them indispensable during emergencies. The maritime industry is constantly evolving, and radar technology is no exception. Innovations such as solid-state radar systems offer higher resolution and reliability compared to traditional magnetron-based radars. These systems are more energy-efficient and have a longer operational life, making them a cost-effective choice for modern vessels. As we look to the future, the integration of artificial intelligence (AI) and machine learning with radar systems holds exciting potential. AI can enhance radar interpretation, automatically identifying and classifying targets, and providing predictive analytics for even better decision-making. In my career, I've had the privilege of working with some of the most advanced radar systems in the industry. The experience has underscored the importance of continuous learning and adaptation. For those of us in the maritime field, staying abreast of technological advancements and understanding their practical applications is crucial. For employers seeking skilled professionals in this domain, know that my expertise in radar systems, combined with my practical experience and MBA background, positions me well to contribute to your organization’s success. Let's connect and explore how we can navigate the future of maritime operations together. Feel free to reach out to discuss this topic further or explore potential collaborations. #radar #navigation #ship #safety #logistics #Saleh_Bayagoob

Marine navigation and charting a greener course with artificial intelligence https://lnkd.in/gSAHqwSi

Comprehensive analysis by maritime technology company Orca AI shows that its market-leading automated situational awareness platform achieved significant operational gains for clients in 2023, including a 172,716-tonnes reduction in CO2 emissions and fuel savings, thanks to fewer sharp manoeuvres and speed drops, as well as an overall reduction in the number of potential incidents and collisions avoided. Read The Full Article:- https://lnkd.in/ehdAGcWQ “Achieving these consistent operational improvements from year to year validates our continuing vision to work in partnership with top-tier shipowners and operators to create a safer and more efficient shipping industry,” said Orca AI’s CTO and Co-founder Dor Raviv.  More News At Workboat365.com Subscribe To The Workboat365 LinkedIn Weekly News https://lnkd.in/eMY2JUnT #shipping #shipsandshipping #propulsionsystems #propulsion #shipbuilding #commercialmarine #maritimeindustry #maritime #marine #marineindustry

Position Referencing in Dynamic Positioning The Position Referencing System (PRS) is a collection of sensors and equipment used to determine the position of ships. PRS is typically used in Dynamic Positioning (DP) systems, which allow ships to maintain a fixed position or move precisely. PRS monitors reference points around the ship and continuously calculates its position, enabling the DP system to control the ship's position and movement. There are various types of PRS, which are typically selected based on the ship's needs and usage. Here are some examples and features of PRS: 1. GPS (Global Positioning System): GPS is a satellite-based navigation system used to determine the ship's position on Earth. GPS provides high-accuracy position information and is commonly used as the primary position reference for ships. 2. GNSS (Global Navigation Satellite System): GNSS is a satellite-based navigation system similar to GPS. It can include different satellite positioning systems such as GPS, GLONASS, Galileo, and BeiDou. GNSS can provide position information over a wider area and is more reliable in terms of accuracy. 3. Magnetic Compass: A magnetic compass is used to determine the ship's north direction. Markings placed on a needle sensitive to magnetic fields indicate the direction of the ship to the crew. The magnetic compass is often used in conjunction with other PRS to improve position accuracy. 4. Laser and Radar Systems: Laser and radar systems are used to detect objects around the ship and determine their positions. These systems are commonly used to monitor platforms, other ships, and maritime signals around ships. 5. Sonar Systems: Sonar systems are used to detect underwater structures and obstacles beneath the ship. These systems are often used for underwater mapping and navigation. PRS plays a vital role in ensuring ships sail safely and stay in desired positions. These systems help optimize ship operations and enhance maritime safety.

Enhancing Yacht Safety with AI and Automation 🌐🛥️ Recent incidents like fires and a tender door being left open causing yachts to sink underline the need for improved safety measures in the yachting sector. Could AI and automation be the answer? Kongsberg Maritime reports it has received Approval in Principle from DNV to enable the role of the Chief Engineer to be transferred from a ship to a shore-based control center, supporting the introduction of uncrewed vessel operations. Imagine: ◘Real-time detection of anomalies ◘Immediate emergency responses ◘Enhanced safety for crew and passengers Could yacht management companies include AI and automation in their service offerings? Let's discuss how technology could reshape marine safety! 💬 #YachtingSafety #AI #Automation #MarineTechnology