Decentralized hyperbolic 3-MANIFOLDS MACHINE LEARNING and knot complements to DISCOVER Relationship INTELLIGENCE: 

Euclidean geometry has proven to have unsolvable limitations for machine learning. 

Ipvive hyperbolic 3-manifold machine learning quantifies Relationship Capital to truly understand each relationship with situational context. It extracts and benchmarks people’s emotions with context (opinions, actions, and values) from audio, video, text, and sensor data to discover the triggers which drive relationship development pathways. Hyperbolic 3-manifold machine learning has beneficial implications for today and the future: 

  • Today, it improves artificial intelligence (AI) recognition (e.g., for speech and emotion) with higher accuracy, multi-modal identity, and relationship context understanding.  

  • In the future, it will “Smartify” and decentralize A.I., IoT devices, networks, and blockchain with vector runtime embedded on quantum chips for efficient and secure on-device personalization. 

 
 
Back Office: NeuroTalent Solution

Back Office: NeuroTalent Solution

Learns from Work’s data exhaust

Front Office: NeuroCustomer Solution

Front Office: NeuroCustomer Solution

Leans from Life’s data exhaust

Cultural & Emotional Triggers + Projection Patterns

Cultural & Emotional Triggers + Projection Patterns

Learns in order to Match
Cultural & Emotion Triggers/Patterns