The Next Frontier of AI: Media. Machines. Life.

30 November 2026

9:00AM – 4:00PM

Taylor's University Lakeside Campus, LT13

NVIDIA and Google DeepMind Joint Engagement 2026

What lies ahead in the next era of artificial intelligence?

Join Taylor's University, NVIDIA, Google DeepMind, and MDEC for an exciting engagement exploring three transformative frontiers of AI: the evolution of generative media and information integrity; the advancement of simulation, robotics, and physical AI; and the convergence of AI, high-performance computing, and digital biology.

Featuring international experts from NVIDIA and Google DeepMind, alongside the ACM SIGGRAPH community, this engagement brings together leading perspectives through keynote presentations, a fireside panel, and a strategic academic–industry roundtable.

Discover emerging technologies, explore real-world applications, and uncover new opportunities for research, education, and industry collaboration.

KEY SPEAKERS

WHAT YOU WILL LEARN

EVENT SCHEDULE

Chris Bregler

Senior Director and Distinguished Scientist, Google DeepMind

Chris Bregler is a Senior Director and Distinguished Scientist at Google DeepMind, recognised for his contributions to computer vision and visual effects. He received an Academy Award for his scientific and technical achievements in visual effects, with work featured in films including Avatar, Avengers, and Star Wars. His current work focuses on addressing harmful deepfakes, advancing media integrity, and exploring generative media technologies.

Prof Tomasz Bednarz

Director, Lilly AI (Co-Innovation) Lab, NVIDIA

Prof Tomasz Bednarz is the Director of NVIDIA's Lilly AI Co-Innovation Lab, where he brings together artificial intelligence, computational science, and creative technologies. Previously, he led visual analytics and AI research at UNSW and CSIRO. He holds a PhD from Kyushu University and an MBA from UNSW, with extensive experience in advancing interdisciplinary innovation.

Dr Anthony Costa

Director of Digital Biology, NVIDIA

Dr Anthony Costa leads NVIDIA's Digital Biology team, working at the intersection of artificial intelligence, high-performance computing, and life sciences. His work focuses on advancing drug discovery and biomedical research through AI-powered technologies. Before joining NVIDIA, he held research and leadership positions at the Icahn School of Medicine at Mount Sinai, where he led initiatives in clinical AI and medical innovation.

Dr Frank Guan

Associate Professor and SIT Fellow, Singapore Institute of Technology; Conference Chair, SIGGRAPH Asia 2026

Dr Frank Guan is an Associate Professor and SIT Fellow at the Singapore Institute of Technology, specialising in virtual reality, augmented reality, mixed reality, and artificial intelligence. He has contributed to numerous international conferences and academic journals and previously chaired IEEE ISMAR in 2022 and 2023. He currently serves as Conference Chair for SIGGRAPH Asia 2026.

June Kim

Director, Executive Committee, ACM SIGGRAPH

June Kim is a media artist and academic at UNSW Art and Design. Her research explores virtual reality as an artistic medium, focusing on the relationship between individuals and their surroundings. Her creative work and research have been featured at SIGGRAPH and other international conferences and festivals.

By attending this engagement, participants will gain insights into:

Generative AI, Deepfakes, and Media Integrity

Explore AI-generated media, deepfakes, information literacy, content provenance, and the emerging role of AI agents in addressing media manipulation.

Simulation and Physical AI

Discover how world foundation models, action models, synthetic data, and high-fidelity simulation are advancing digital twins, robotics, and industrial innovation.

AI and Digital Biology

Understand how AI and accelerated computing, including NVIDIA BioNeMo, are transforming biological foundation models, molecular design, and biomedical research.

Research, Innovation, and Collaboration

Identify opportunities to translate frontier AI developments into interdisciplinary research, educational innovation, and academic–industry partnerships.

8:30AM – 9:00AM

Registration

9:00AM – 9:30AM

Welcome

The programme begins with welcome remarks, an introduction to the event objectives and Taylor's priorities, followed by addresses from Taylor's leadership and MDEC.

9:30AM – 10:00AM

Keynote 1: GenAI Media, Deepfakes, and AI Agents

Explore AI-generated and manipulated media, the importance of information literacy, and how AI can help detect deepfakes, verify content, and combat misinformation.

10:00AM – 10:30AM

Keynote 2: Simulation and Physical AI for the Next Wave of Industrial Digitisation

Discover how AI models, synthetic data, and advanced simulations are supporting the development of digital twins, robotics, and more reliable physical AI applications.

10:30AM – 11:00AM

Keynote 3: Reasoning about Life

Learn how AI, high-performance computing, and life sciences are coming together to advance biological research and scientific discovery.

11:00AM – 11:30AM

Speaker Break

11:30AM – 12:15PM

Fireside Panel: From Frontier AI to Trusted, Real-World Impact

Join a panel discussion on how emerging AI technologies can create meaningful real-world impact, covering information integrity, accelerated computing, and Taylor's strategic priorities. The session will also include a Q&A with the audience.

12:15PM – 1:40PM

Lunch

1:40PM – 3:10PM

Taylor's Priority Roundtable: Research, Education, and Deployment

Faculty representatives share their insights, followed by focused discussions on research, education, talent development, and infrastructure. The session aims to identify key priorities and actionable next steps.

3:10PM – 3:20PM

Agreed Commitments, Next Steps, and Closing

A recap of the key discussion points, agreed priorities, and next steps, followed by closing remarks.

3:20PM – 3:30PM

Afternoon Break

3:30PM – 4:00PM

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