Emerging Technologies:
- Distributed AI inference clustering (exo framework) — Enables enterprises to run AI workloads on existing hardware without cloud dependency, reducing costs while maintaining data sovereignty—critical for regulated industries
- Bottom-up policy optimization for LLM training — Could fundamentally improve training efficiency by leveraging discovered internal model policies, potentially reducing compute requirements and democratizing model development
- Multimodal transformers for specialized domains — Moving beyond general-purpose models to domain-specific applications (medical, satellite control) where accuracy requirements exceed current general models
Research Insights:
- LeLaR satellite controllers demonstrate edge AI can handle critical real-time systems
- Clinical validity studies reveal current AI benchmarks may be gaming metrics rather than measuring capability
Patent Signals:
- FANUC's motor signal filtering patents indicate industrial AI adoption accelerating in manufacturing automation