ARC Future Fellowships - Grant ID: FT230100549

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT230100549

Funding Status
Active

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Funded Activity Summary

Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of nearly pure additions to fulfil the requisites of accuracy, robustness, calibration and generalisation in real-world computer vision tasks. The success of this project will benefit deep learning-based products on smartphones or robots in health and cybersecurity.

Funded Activity Details

Start Date: 30-06-2024

End Date: 29-06-2028

Funding Scheme: ARC Future Fellowships

Funding Amount: $960,341.00

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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