IEEE Future Networks World Forum
13–15 November 2023 // Baltimore, MD, USA
Imagining the Network of the Future

From Transformers to Multimodal GenAI



As Generative AI emerges and merges into our psyche, 6G Networks and applications can significantly benefit from this technology. This tutorial starts with deep neural networks with transformer architecture and attention support, and then dives into different related topics including latent space embedding, variational autoencoders, approximate nearest neighbor techniques for vector search, stable diffusion, and contrastive-learning, and concludes with current state-of-the-art related to multimodal generative AI techniques. The tutorial will also suggest how such technology can assist 6G and advanced 5G networks including digital twin modeling for such networks, and also enabling novel intelligent applications for such networks that can be beneficial to users and to society.


Dilip Krishnaswamy received a PhD degree in electrical engineering from the University of Illinois at Urbana-Champaign. He has deep experience in the architecture, design & development of engineering platforms & products, and has led engineering teams at Intel, Qualcomm, IBM and Reliance Jio. He has 70+ granted US patents and 70+ research publications. He is currently a founder at Quantum Walks Technologies, an AI/Quantum tech startup.






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