Our Core Research Initiatives
Mindverse Computing is at the forefront of pioneering research in consciousness-driven AI. Our initiatives focus on understanding and modeling the human mind through advanced computational frameworks.
BCI Data and Quantum Connectome
We leverage comprehensive Brain-Computer Interface (BCI) data to characterize the Quantum Connectome, which forms the core of our Quantum Virtual Minds (QVMs). This involves developing novel quantum algorithms to map and analyze intricate neural connections and their quantum properties, leading to a deeper understanding of cognitive processes.
- Advanced BCI data analysis for neural pattern recognition.
- Development of quantum algorithms for connectome characterization.
- Foundation for personalized QVMs.
Agentome: Multi-Agent AI System with SPX
Our Agentome is a sophisticated multi-agent AI system designed to simulate various aspects of human cognition and interaction. It operates using the Synchronization Protocol for Exchange (SPX), a proprietary communication framework that enables seamless data exchange and collaborative decision-making among agents.
- Multi-agent architecture for cognitive simulation.
- SPX protocol for efficient data exchange and synchronization.
- Enables complex mental state modeling.
Mental State Tensor and Recommendations
The Agentome's primary function is to explore and analyze the Mental State Tensor, a multi-dimensional representation of an individual's cognitive and emotional states derived from BCI data. Based on this analysis, the Agentome proposes highly personalized recommendations.
- Personalized Music Recommendations: Tailored to mood and cognitive activity.
- Curated Story Recommendations: Engaging narratives aligned with individual preferences.
- Guided Meditation and Inner Engineering: Customized exercises for mental well-being.
- Optimal Learning Content: Educational materials adapted to cognitive styles.
