Research at Logstrike
Pushing the boundaries of AI workspace technology through innovative research and development
Research Areas
AI Workspace Innovation
We are experimenting, iterating to integrate multiple AI models and tools into a cohesive workspace environment.
- Advanced context management systems
- Dynamic workflow optimization
- Cross-model interaction patterns
- Graph based Beam Search
- Adaptive user interface systems
Cognitive Architecture Research
We are investigating and implementing advanced cognitive architectures for more intuitive AI interactions.
- Memory-augmented neural networks
- Attention mechanism optimization
- Multi-modal learning systems
- Spatio-Temporal reasoning frameworks
- Parallel and sequential planning
- Common sense reasoning
Hardware Acceleration
We are planning simulation of AI acceleration through specialized hardware solutions, discussions with some VLSI designers are in progress.
- Analog computing integration
- Custom ASIC development
- Hybrid computing architectures
- Energy efficiency optimization
Publications
Efficient Integration of Multiple Language Models in Professional Workflows
Team Logstrike
In progress
A novel approach to integrating multiple language models while maintaining context and reducing computational overhead.
Hybrid Analog-Digital Computing for AI Acceleration
Team Logstrike
Upcoming Publication, 2025
Investigating the potential of hybrid computing architectures for AI acceleration in professional workflows.