Explore foundational discoveries in Artificial Emotional Intelligence (AEI), Digital Human Intelligence (DHI), and multi-agent neural architectures engineered by Hooc AI.
Continuous 3D Affective State Vectors for Real-Time Artificial Emotional Intelligence
Hooc AI Research Lab · Core AEI Team
Conventional conversational AI evaluates emotional tone through discrete, post-hoc classification categories (e.g. happy, sad, angry). We introduce a continuous 3D affective state vector space (Valence, Arousal, Dominance) that updates sequentially across conversation turns. By decoupling affective vectors from standard next-token probability distributions, language models modulate empathy, cognitive warmth, and conversational pacing in real time with sub-18ms latency overhead.
Affective Alignment+34.2%
Latency Overhead<18ms
Parameter EfficiencyZero Perplexity Penalty
#AEI Core#Continuous VAD#Affective Computing#Conversational AI
Digital Human IntelligenceHOOC-TR-2024-02 | Patent Engine #7
2024 Q3
Neural Lip-Sync and Saccadic Gaze Synchronization in Embodied Digital Humans
Hooc AI Digital Human Lab
Real-time digital human interaction demands tight synchronization between acoustic prosody, micro-expression synthesis, and ocular gaze shifts. This paper details our neural rendering pipeline that processes streaming audio chunks to predict 52 blendshape coefficients and saccadic eye movements at 60 FPS. The framework achieves sub-120ms audiovisual glass-to-glass latency on edge compute devices.
End-to-End Latency118ms
Lip-Sync Precision98.4%
Frame Consistency60 FPS Ultra-Smooth
#DHI Digital Human#Micro-Expressions#Blendshapes#Real-Time Neural Rendering
Multi-Agent ArchitecturesHOOC-TR-2024-03 | Enterprise Systems
2024 Q2
Deterministic Cyclic State Graphs with Self-Reflective Verification Loops
Hooc AI Systems Group
Autonomous agent chains in critical enterprise workflows suffer from unbounded execution loops and cascading hallucinations. We present a deterministic cyclic state graph architecture built with LangGraph principles. Specialized verification nodes inspect intermediate state payloads against formal pre-conditions before authorizing external tool execution, eliminating deadlocks and task drift.
Sub-120ms Full-Duplex Audio Intelligence: Acoustic Affect Decoding and Turn-Taking
Hooc AI Audio & Streaming Group
Natural human conversation relies on subtle acoustic cues, vocal pitch modulations, and immediate conversational interruption handling. We introduce a full-duplex conversational audio streaming engine that extracts acoustic features directly from streaming audio frames, predicting turn completion and user interruption 200ms before word termination.
Autobiographical Memory Graphs for Long-Horizon Persona and Episodic Consistency
Hooc AI Cognitive Computing Group
Sustained emotional intimacy in companion AI requires preserving autobiographical facts, mutual shared experiences, and subjective sentiment over months of interaction. We propose a hybrid episodic memory graph that fuses dense semantic embeddings with temporal knowledge graphs, ensuring accurate recall across 10,000+ turns without contextual dilution.
Entity Recall Accuracy99.2%
Long-Horizon Drift0% Persona Variance
Query Retrieval Time<24ms
#Memory Graphs#Cognitive Continuity#Temporal Knowledge#Hoocup AI
We partner with enterprise laboratories, academic researchers, and deep-tech institutions advancing Artificial Emotional Intelligence and embodied autonomous avatars.
