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AI+X Leadership Summit 2024

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Swinburne University of Technology, AGSE202 Lecture Theatre, Level 2
hawthorn, australia
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Swinburne Research
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Fri, 29 Nov, 9:30am - 3pm AEDT

Event description

Presented by the Digital Capability Research Platform at Swinburne.

Join us for a transformative summit focused on the latest advancements in AI technologies and their applications across diverse fields, including health, finance, smart cities, energy, resources, agriculture, and services.

Aimed at leaders, researchers, and developers, this summit serves as a crucial platform for anyone looking to drive real impact in their organisation, industry or beyond. The event will will explore how to harness AI to enhance productivity, drive economic growth, leverage global technological strengths, and shape the future of AI

We are pleased to present to you the 2024 AI+X Leadership Summit. It is designed for leaders, researchers, and developers to gain insights from the most recent AI technologies and applications in domains such as health, finance, smart cities, energy, resources, agriculture, and services. Organised by Swinburne University of Technology, the Summit is a pivotal leadership dialogue for anyone looking to drive real impact in their organisation, industry or beyond. We will explore how to utilise AI to boost productivity and economic growth, leverage the global technology strengths, and define our AI future.

Featured Presentations

Artificial Intelligence (AI) in Research at Swinburne
Professor Virginia Kilborn
Swinburne's Chief Scientist
Swinburne University of Technology

Growing Australia's Creative Economy in the Age of AI: Can It Be Done?
Nicola Grayson
Head of Public Affairs 
Creative Australia

AI: The Good, The Bad, and The Ugly
Nadia Lee
Founder/CEO
ThatsMyFace

Model Inversion Attacks in Federated Learning
Professor Wenjing Lou 
Department of Computer Science, Virginia Tech, USA

Developing the Next-Generation Industrial IoT for Digital Manufacturing
Professor Dimitrios Georgakopoulos
Director, ARC Research Hub for Future Digital Manufacturing
Swinburne University of Technology

Encrypted Inference for Graph Neural Networks
Associate Professor Xingliang Yuan
School of Computing and Information Systems, University of Melbourne

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