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Grant Award View - GA58241
Autonomous learning for decision making in complex situations
GA ID:
GA58241
Agency:
Australian Research Council
Approval Date:
21-Nov-2019
Publish Date:
18-Sep-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2020 to 31-Dec-2024
Original: 12-Sep-2019 to 30-Jun-2024
Value (AUD):
$3,280,000.00
(GST inclusive where applicable)
Variations:
- GA58241-V3 - Variation to Grant (20-Oct-2021 )
- GA58241-V2 - Variation to Grant (2-Aug-2021 )
- GA58241-V1 - Variation to Grant (17-Dec-2019 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Australian Laureate Fellowships
Grant Activity:
Autonomous learning for decision making in complex situations
Purpose:
The project aims to create a novel research direction – autonomous machine learning for data-driven decision-making – that innovatively and effectively learns from big data to support decision-making in complex (massive, uncertain, dynamic) situations. A set of new theories, methodologies and algorithms will give artificial intelligence the ability to learn autonomously from data to enable machine learning capability to effectively handle tremendous uncertainties in data, learning processes and decision outputs, particularly enabling smart learning in massive domains, massive streams, and massive-agent sequentially changing environments. The project’s outcomes are expected to improve data-driven decision-making in multiple industry sectors.
GO ID:
GO Title:
Australian Laureate Fellowships for funding commencing in 2019
Internal Reference ID:
FL19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA