AI Track
Keynote: The Quantum Leap in Generative AI
Session Abstract
Discussing the roadmap of generative large model transformer architectures running on hybrid quantum-silicon processors. This session details the mathematical constraints of current transformer logic and explores compiler updates enabling parallel execution in tensor-accelerated grids.
What You'll Learn
- Understand mathematical foundations of tensor compilation grids.
- Analyze hybrid quantum execution models on neural chipsets.
- Implement parallel context windows on customized transformer pipelines.
- Evaluate safety layers inside generative near-AGI systems.
