{"id":3800,"date":"2026-08-25T16:39:30","date_gmt":"2026-08-25T14:39:30","guid":{"rendered":"https:\/\/www.hsu-hh.de\/imb\/?page_id=3800"},"modified":"2026-08-25T17:15:06","modified_gmt":"2026-08-25T15:15:06","slug":"ml4d","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/imb\/en\/organized-events\/ml4d","title":{"rendered":"ML4D – Machine Learning for Defence"},"content":{"rendered":"\n

Conference in Berlin, March 11-12, 2027<\/strong><\/h2>\n\n\n\n
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About the Conference<\/h2>\n\n\n\n

Artificial intelligence is moving from research prototypes into systems that matter for security and defence \u2014 from autonomous platforms and multi-sensor situational awareness to logistics, cyber defence, and decision support. These applications raise challenges that general-purpose AI research rarely addresses: adversaries that deliberately attack the model, data that is scarce and sensitive, assurance requirements that must hold under operational conditions, and platforms that must run at the edge with limited power and unreliable communication. ML4D aims to examine these requirements and explore potential AI-driven approaches for security and defence. Key topics include AI use cases in security and defense, innovative methodologies for addressing sector-specific challenges, and both technical and non-technical challenges associated with AI implementation in these contexts. The workshop brings together researchers from universities, research institutes, industry, and the armed forces to discuss recent advances, open problems, and future directions.<\/p>\n\n\n\n

Register here<\/strong>: TBA<\/p>\n\n\n\n

The first Machine Learning for Defence (ML4D) <\/strong>workshop will take place on March 12, 2027 at the Fraunhofer Forum in Berlin. ML4D will be held jointly with the 11th Machine Learning for Cyber-Physical Systems (ML4CPS) workshop on March 11, 2027.<\/p>\n\n\n\n

ML4D is hosted by Fraunhofer IOSB and FKIE, Helmut Schmidt University Hamburg, the German Aerospace Center (DLR), and the University of the Bundeswehr Munich.<\/p>\n\n\n\n

Papers may cover, but are not limited to, the following topics:<\/strong><\/p>\n\n\n\n