Client
Dynex
Engagement
Leadership & Research
Timeframe
2023 - 2024
Key Results
- Transformed neuromorphic/quantum platform into working AI lab.
- Published multiple papers on quantum RBMs, diffusion, and transformers.
- Established research partnerships and collaboration frameworks.
Context & Challenge
Dynex had developed a neuromorphic/quantum computing platform but needed to demonstrate practical AI applications. The role required bridging cutting-edge research with commercial viability.
Approach
- 1
Audited the platform's capabilities and identified research directions.
- 2
Built a team and established research methodology.
- 3
Focused on novel architectures: quantum RBMs, diffusion models, transformers.
- 4
Created publication pipeline and external collaboration framework.
Solution
Led the transformation of the platform from a technology demonstration to a productive AI research lab with published papers, working demonstrations, and commercial partnerships.
Results & Impact
Multiple peer-reviewed publications in quantum-inspired AI.
Functional demonstrations of novel AI architectures.
Framework for ongoing research and development.
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