The availability of data and the ability to generate data in digital format have grown tremendously; this has brought to the attention of many industries across many domains. The innovative use of machine learning in industry has increased sharply over the last few years. ICMLC Industry Track will provide opportunities to showcase the latest developments and provide a platform to examine current issues in machine learning in the industry context. This can also offer industry and academic researchers and innovators opportunities to explore collaboration to build a better machine learning system.

Accepted short papers will be invited for oral presentation and published in a dedicated Industry Track Booklet (digital format and not published in IEEE Xplore). In addition, accepted companies will be invited to submit a one-page overview highlighting their organization and products, which will also be included in the booklet.

Authors are required to submit a short paper of no more than two pages. The content may include a problem description, technical approach, key results, and industrial impact. Submissions should avoid disclosing any sensitive or proprietary information.

Submissions should be made through the submission system, under the Industry Track category.

• Submission Due: 5th March 2026
• Notification of Acceptance: 5th April 2026
• Registration Due: 25th April 2026
• Camera-Ready: 25th April 2026

For any enquiry, please contact the Program Chair, Professor Kevin Wong (K.Wong@murdoch.edu.au)