Discovery Early Career Researcher Award - Grant ID: DE240100105

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100105

Funding Status
Active

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Funded Activity Summary

Towards Evolvable and Sustainable Multimodal Machine Learning. Machine learning is commonly limited to a single operational modality. To enable image, sound and language comprehension simultaneously would require machines to reuse knowledge and understand concepts from multimodal data. The project aims to build a sparse model and present a set of innovative algorithms to enhance model generalisation for addressing distributional and semantic shifts and minimise the computational and labelling costs for training multimodal systems. Its outcomes will enable evolvable learning of models to suit varying testing scenarios after deployment and whilst reducing energy consumption and carbon emission. The application of these techniques could benefit sectors such as E-commerce, agriculture and transport.

Funded Activity Details

Start Date: 01-07-2024

End Date: 30-06-2027

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $458,823.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data mining and knowledge discovery | Data engineering and data science | Graph social and multimedia data | Data management and data science

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Data engineering and data science | Data management and data science | Data mining and knowledge discovery | Electronic Information Storage and Retrieval Services | Graph social and multimedia data

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