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Grant Award View - GA268715
Towards Real-world Continual Learning on Unrestricted Task Steams
GA ID:
GA268715
Agency:
Australian Research Council
Approval Date:
29-Sep-2022
Publish Date:
5-Oct-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jun-2023 to 30-May-2026
Original: 1-Jan-2023 to 31-Dec-2025
Value (AUD):
$419,154.00
(GST inclusive where applicable)
Variations:
- GA268715-V1 - Variation to Grant (17-May-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Towards Real-world Continual Learning on Unrestricted Task Steams
Purpose:
This project aims to enable machines to continually learn without forgetting and accumulate knowledge from the sequential data streams containing diverse tasks. This project expects to advance the continual learning to unrestricted real-world task steams that are long-term and complex and promote artificial intelligence toward the human-level intelligence that can automatically evolve during interaction with the world. Expected outcomes of this project include the paradigm-shifting continual learning framework and techniques for handling unrestricted task steams in real-world scenarios. They will benefit society and the economy nationally and internationally by enhancing the applicability of artificial intelligence.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2023
Internal Reference ID:
DE23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA