IBM’s AI-powered Mayflower ship crosses the Atlantic

IBM has developed a revolutionary AI-powered vessel called the Mayflower, which recently completed a transatlantic journey, although not without its challenges. The Mayflower, a crewless ship measuring 50 feet, relies on AI and edge computing to navigate the unpredictable and often treacherous oceans. It aimed to replicate the historic voyage of the original Mayflower that transported the Pilgrims from Plymouth, UK, to Massachusetts, US in 1620. However, technical issues hindered its progress. Initially scheduled for launch in June 2021, the vessel had to return to Plymouth due to technical glitches. In April 2022, the Mayflower embarked on its journey again but encountered generator problems, diverting to the Azores Islands in Portugal. Despite subsequent issues with the generator’s starter batteries in late May, the ship altered its course and reached Halifax, Nova Scotia, where it is currently docked. Despite mechanical shortcomings, IBM highlights the flawless performance of the ship’s autonomous systems, including the AI captain developed by MarineAI. While the AI systems excel at navigation and reporting mechanical problems, they are not equipped to perform physical repairs. Nevertheless, the successful oceanic navigation of the Mayflower by its autonomous systems is considered a remarkable accomplishment. According to Robert High, VP and CTO of Edge Computing at IBM, the ship relies on sophisticated software, utilizing AI to detect and identify various obstacles and objects in the water, such as other ships, debris, land formations, and marine life.

Posted in

Aihub Team

Leave a Comment





SK Telecom outlines its plans with AI partners

SK Telecom outlines its plans with AI partners

Razer and ClearBot are using AI and robotics to clean the oceans

Razer and ClearBot are using AI and robotics to clean the oceans

NHS receives AI fund to improve healthcare efficiency

NHS receives AI fund to improve healthcare efficiency

National Robotarium pioneers AI and telepresence robotic tech for remote health consultations

National Robotarium pioneers AI and telepresence robotic tech for remote health consultations

IBM’s AI-powered Mayflower ship crosses the Atlantic

IBM’s AI-powered Mayflower ship crosses the Atlantic

Humans are still beating AIs at drone racing

Humans are still beating AIs at drone racing

How artificial intelligence is dividing the world of work

How artificial intelligence is dividing the world of work

Global push to regulate artificial intelligence

Global push to regulate artificial intelligence

Georgia State researchers design artificial vision device for microrobots

Georgia State researchers design artificial vision device for microrobots

European Parliament adopts AI Act position

European Parliament adopts AI Act position

Chinese AI chipmaker Horizon endeavours to raise $700M to rival NVIDIA

Chinese AI chipmaker Horizon endeavours to raise $700M to rival NVIDIA

AI Day: Elon Musk unveils ‘friendly’ humanoid robot Tesla Bot

AI Day: Elon Musk unveils ‘friendly’ humanoid robot Tesla Bot

AI and Human-Computer Interaction: AI technologies for improving user interfaces, natural language interfaces, and gesture recognition.

AI and Data Privacy: Balancing AI advancements with privacy concerns and techniques for privacy-preserving AI.

AI and Virtual Assistants: AI-driven virtual assistants, chatbots, and voice assistants for personalized user interactions.

AI and Business Process Automation: AI-powered automation of repetitive tasks and decision-making in business processes.

AI and Social Media: AI algorithms for content recommendation, sentiment analysis, and social network analysis.

AI for Environmental Monitoring: AI applications in monitoring and protecting the environment, including wildlife tracking and climate modeling.

AI in Cybersecurity: AI systems for threat detection, anomaly detection, and intelligent security analysis.

AI in Gaming: The use of AI techniques in game development, character behavior, and procedural content generation.

AI in Autonomous Vehicles: AI technologies powering self-driving cars and intelligent transportation systems.

AI Ethics: Ethical considerations and guidelines for the responsible development and use of AI systems.

AI in Education: AI-based systems for personalized learning, adaptive assessments, and intelligent tutoring.

AI in Finance: The use of AI algorithms for fraud detection, risk assessment, trading, and portfolio management in the financial sector.

AI in Healthcare: Applications of AI in medical diagnosis, drug discovery, patient monitoring, and personalized medicine.

Robotics: The integration of AI and robotics, enabling machines to perform physical tasks autonomously.

Explainable AI: Techniques and methods for making AI systems more transparent and interpretable

Reinforcement Learning: AI agents that learn through trial and error by interacting with an environment

Computer Vision: AI systems capable of interpreting and understanding visual data.

Natural Language Processing: AI techniques for understanding and processing human language.