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<title>Transformer-Based Cognition Engine</title>

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</head>

<div class="inline-block mb-3 px-4 py-1 rounded-full bg-gradient-to-r from-purple-600/30 to-blue-600/30 border border-purple-500/50"><span class="text-xs font-semibold text-purple-300 mono">COGNITIVE AI SYSTEM</span>

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<h1 id="main-title" class="text-3xl md:text-5xl font-bold mb-3 bg-gradient-to-r from-purple-400 via-blue-400 to-cyan-400 bg-clip-text text-transparent glow-text">Transformer-Based Cognition Engine</h1>

<p id="subtitle" class="text-base md:text-lg text-slate-300 max-w-3xl mx-auto">Domain-Specific AI for Complex Catastrophe Risk Interpretation</p>

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INCOMPLETE DATA

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Raw Input Stream

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Missing Fields • Noise

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COMPLEX DATA

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Multi-Source

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Unstructured • Mixed

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CONTEXT DATA

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Domain-Specific

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Historical • Geospatial

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TRANSFORMER CORE

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MULTI-HEAD ATTENTION

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Pattern Recognition

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FEED-FORWARD NETWORK

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NORMALIZATION + DROPOUT

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CATASTROPHE OPTIMIZATION

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Domain-Tuned Weights

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Risk-Aware Loss Function

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Processing: Real-Time

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EXPERT KNOWLEDGE

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Catastrophe Domain

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Built-in Expert Models

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REGULATORY RULES

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Compliance Engine

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Policy & Standards

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SELF-LEARNING

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Adaptive AI

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Continuous Improvement

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RISK TYPE MODULES

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Natural Hazards (Hurricane, Flood)

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Climate Events (Wildfire, Drought)

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Infrastructure Failures

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Economic Disruptions

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Pandemic & Health Crises

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Geopolitical Risks

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INTERPRETED OUTPUT

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Risk Assessment

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Confidence Scores • Gaps Filled

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ACTIONABLE INSIGHTS

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Decision Support

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Recommendations • Priorities

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MODEL UPDATES

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Learning Loop

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Weight Adjustments • Tuning

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← FEEDBACK LOOP: Continuous Learning

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<h3 class="text-sm font-bold text-emerald-400">Expert Knowledge</h3>

<p class="text-xs text-slate-400">Domain Expertise</p>

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<p class="text-sm text-slate-300 leading-relaxed" id="module-description">Built-in catastrophe models trained on historical events, damage patterns, and expert assessments</p>

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<h3 class="text-sm font-bold text-amber-400">Regulatory Rules</h3>

<p class="text-xs text-slate-400">Compliance Engine</p>

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<p class="text-sm text-slate-300 leading-relaxed">Embedded regulatory frameworks, insurance standards, and compliance requirements for each jurisdiction</p>

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<h3 class="text-sm font-bold text-pink-400">Self-Learning</h3>

<p class="text-xs text-slate-400">Adaptive Intelligence</p>

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<p class="text-sm text-slate-300 leading-relaxed">Continuous model refinement through outcome feedback and real-world event validation</p>

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</svg> Technical Architecture</h3>

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<h4 class="text-sm font-semibold text-cyan-400 mb-2 mono">TRANSFORMER COMPONENTS</h4>

<li class="flex items-start gap-2"><span class="text-purple-400 mt-0.5">▸</span> <span>Multi-head self-attention for context understanding</span></li>

<li class="flex items-start gap-2"><span class="text-purple-400 mt-0.5">▸</span> <span>Positional encoding for temporal data</span></li>

<li class="flex items-start gap-2"><span class="text-purple-400 mt-0.5">▸</span> <span>Layer normalization and residual connections</span></li>

<li class="flex items-start gap-2"><span class="text-purple-400 mt-0.5">▸</span> <span>Domain-specific loss functions for catastrophe risk</span></li>

</ul>

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<h4 class="text-sm font-semibold text-cyan-400 mb-2 mono">COGNITIVE CAPABILITIES</h4>

<li class="flex items-start gap-2"><span class="text-pink-400 mt-0.5">▸</span> <span>Gap-filling for incomplete data using learned patterns</span></li>

<li class="flex items-start gap-2"><span class="text-pink-400 mt-0.5">▸</span> <span>Cross-domain knowledge transfer between risk types</span></li>

<li class="flex items-start gap-2"><span class="text-pink-400 mt-0.5">▸</span> <span>Uncertainty quantification and confidence scoring</span></li>

<li class="flex items-start gap-2"><span class="text-pink-400 mt-0.5">▸</span> <span>Real-time model adaptation based on outcomes</span></li>

</ul>

</div>

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