Discovery Early Career Researcher Award - Grant ID: DE230101591

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE230101591

Funding Status
Active

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Funded Activity Summary

Towards Real-world Continual Learning on Unrestricted Task Steams. 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.

Funded Activity Details

Start Date: 01-06-2023

End Date: 30-05-2026

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $419,154.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Deep learning | Computer vision | Machine learning |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Computer vision | Deep learning | Expanding Knowledge In the Information and Computing Sciences | Machine learning

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