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Artificial Intelligence in the Maritime Domain

  • Overview

Artificial Intelligence (AI) and machine-learning techniques have immense potential for improving efficiency and safety across the marine sector e.g. optimising ship hull forms, health monitoring for ship engines, predicting the spread of oil spills, preventing ship collisions, modelling ocean circulation or rogue waves. However, they also create new challenges, particularly where safety is concerned.

The AI SIG aims to monitor ongoing progression in this field to support knowledge and development of the IMarEST membership. The SIG also strives to contribute to the technology debate by developing position papers, webinars, and an online discussion group to share the latest developments in the industry.  

If you are interested in joining the group, log in to My IMarEST and select the group from the list.

 

      

SIG officers

Mr Robert Doncom CEng CMarEng FIMarEST

Chair

Upcoming events

Crew Connect Global 2026 featured image.png
External
20 – 22 October 2026

Crew Connect Global

IMarEST supported event Manila, Philippines
Global shipbuilding - who is striving and who is thriving_NL.jpg
Free
21 October 2026

Shipbuilding Heritage of Bengal: A Legacy Still Afloat

A webinar by the History Society.

Society event Online
SJB Branch Event - Keith H
Free External
21 October 2026

Development of the Marine Steam Turbine by Sir Charles Parsons

A hybrid event by the IMarEST's Southern Joint Branch.

Branch event Southampton, UK
Ship
Free External
26 October 2026

Fleet Solid Support: From Concept to Construction

A hybrid event by the IMarEST's Western Joint Branch.

Branch event Bristol, UK
About IMarEST

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Offices

Europe

1 Birdcage Walk
London SW1H 9JJ
United Kingdom
+44 (0) 20 7382 2600

Asia-Pacific

298 Tiong Bahru Road
#05-01 Central Plaza
Singapore 168730
+65 (0) 6472 0096

© 2026 The Institute of Marine Engineering, Science and Technology | Registered Charity Number: 212992 A company incorporated by Royal Charter. Registered in England and Wales (no. RC000256)

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