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Grant Award View - GA337658
Towards Evolvable and Sustainable Multimodal Machine Learning
GA ID:
GA337658
Agency:
Australian Research Council
Approval Date:
28-Sep-2023
Publish Date:
4-Oct-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jul-2024 to 30-Jun-2027
Original: 1-Jan-2024 to 31-Dec-2026
Value (AUD):
$458,823.00
(GST inclusive where applicable)
Variations:
- GA337658-V1 - Variation to Grant (12-Dec-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Towards Evolvable and Sustainable Multimodal Machine Learning
Purpose:
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.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2024
Internal Reference ID:
DE24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA