Unleashing the Potential of Multimodal AI - Join Us at Our First Workshop!

[Haiping Lu]

We're delighted to invite you to the First Workshop on Multimodal AI at the University of Sheffield, UK, on 27th June 2023. Explore the potential of Multimodal AI, a field uniting diverse data types through advanced machine learning models, with applications ranging from healthcare to robotics and manufacturing. Your unique insights are welcomed, with opportunities to contribute pitches and posters, and possibly win one of four £150 prizes. Financial support is available upon request via the registration form. Register at https://multimodalai.github.io/ by 14th June 2023. Student registration is £20, while standard registration is £50. We look forward to your participation.

Our exciting tentative programme is now live and can be accessed at https://multimodalai.github.io/#programme. Here's a sneak peek of the highlights we have in store for you:

• Keynote 1: Professor Mirella Lapata, University of Edinburgh, UKRI Turing AI World-Leading Researcher Fellow
  • Title: Hierarchical3D Adapters for Long Video-to-text Summarization
• Keynote 2: Dr Yutian Chen, Google DeepMind, AlphaGo Developer
  • Title: Learning a generalist agent on large scale multi-modal data
• Keynote 3: Dr Chew-Yean Yam, Microsoft, Principal Data and Applied Scientist
  
  • Title: Us and AI: Redefining our relationships with AI
• Panel Discussion
  
  • What breakthroughs in multimodal AI do you foresee having the most significant impact in the next five years?
  • How can we navigate and mitigate the ethical concerns associated with advancing multimodal AI technologies?
  • Given the interdisciplinary nature of multimodal AI, how can we better integrate different fields of expertise to accelerate innovation in this area?
• Networking Forums
  
  • Envisioning MultimodalAI'24
  • Boosting Engagement and Active Participation in Multimodal AI
  • Cross-Disciplinary Collaboration and Resource Sharing in Multimodal AI
  • Open-Source Software Development for Multimodal AI
  • Ethical and Responsible Practices in Multimodal AI
    

We would greatly appreciate your support in sharing this invitation within your network. Your help in spreading the word is invaluable. Thank you very much!

Kind regards,

Haiping Lu

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Professor of Machine Learning and AI Strategy Lead - Department of Computer Science
Head of AI Research Engineering - Centre for Machine Intelligence
Insigneo Research Director for Healthcare Data / AI
Turing Academic Lead, University of Sheffield
https://haipinglu.github.io/; https://www.turing.ac.uk/people/haiping-lu