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Deploy from jjohare/logseq @ e14539317f10934e3c0a289aae0b58a14335e678 jjohare/logseq@e145393
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api/pages/pages/A-Star Algorithm.json

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"RB-1018-dijkstra-algorithm"
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],
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"wiki_links": [
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"Heuristic Methods",
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"Priority Queue",
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"Dijkstra's Algorithm",
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"Route Planning",
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"Pathfinding",
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"Search Algorithms",
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"Graph Theory",
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"Dijkstra's Algorithm"
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"Pathfinding",
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"Heuristic Methods",
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"Search Algorithms"
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],
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"ontology": {
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"term_id": "AI-1004",

api/pages/pages/AI Applications.json

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"content": "- ### OntologyBlock\n id:: ai-applications-ontology\n collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0604\n\t- preferred-term:: AI Applications\n\t- source-domain:: ai\n\t- status:: active\n\t- public-access:: true\n\t- definition:: AI Applications represent domain-specific implementations of artificial intelligence technologies across various industries and use cases. This category encompasses practical deployments of AI in healthcare, autonomous vehicles, personal assistants, industrial automation, financial services, and other sectors where AI delivers tangible value.\n\t- owl:class:: ai:AIApplications\n\t- belongsToDomain:: [[Artificial Intelligence]]\n\t- #### Relationships\n\t id:: ai-applications-relationships\n\t collapsed:: true\n\t\t- is-subclass-of:: [[Artificial Intelligence]]\n\t\t- is-parent-of:: [[Medical AI]]\n\t\t- is-parent-of:: [[Autonomous Vehicles]]\n\t\t- is-parent-of:: [[AI Assistant]]\n\t\t- is-parent-of:: [[Industrial AI]]\n\t\t- related-to:: [[AI Deployment]]",
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"backlinks": [],
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"wiki_links": [
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"AI Deployment",
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"Industrial AI",
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"Autonomous Vehicles",
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"Artificial Intelligence",
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"Medical AI",
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"AI Assistant",
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"Artificial Intelligence"
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"Industrial AI",
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"AI Deployment"
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],
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"ontology": {
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"term_id": "AI-0604",

api/pages/pages/AI Infrastructure.json

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"content": "- ### OntologyBlock\n id:: ai-infrastructure-ontology\n collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0603\n\t- preferred-term:: AI Infrastructure\n\t- source-domain:: ai\n\t- status:: active\n\t- public-access:: true\n\t- definition:: AI Infrastructure refers to the hardware, software, and systems required to develop, train, deploy, and operate artificial intelligence applications. This includes GPU computing clusters, cloud AI services, edge computing devices, machine learning platforms, and the supporting toolchains for model development and deployment.\n\t- owl:class:: ai:AIInfrastructure\n\t- belongsToDomain:: [[Artificial Intelligence]]\n\t- #### Relationships\n\t id:: ai-infrastructure-relationships\n\t collapsed:: true\n\t\t- is-subclass-of:: [[Artificial Intelligence]]\n\t\t- is-parent-of:: [[GPU Computing]]\n\t\t- is-parent-of:: [[Cloud AI]]\n\t\t- is-parent-of:: [[Edge AI]]\n\t\t- related-to:: [[AI Deployment]]",
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"backlinks": [],
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"wiki_links": [
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"Cloud AI",
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"Artificial Intelligence",
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"Edge AI",
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"GPU Computing",
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"AI Deployment",
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"Artificial Intelligence"
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"Cloud AI",
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"GPU Computing"
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],
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"ontology": {
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"term_id": "AI-0603",

api/pages/pages/AI Safety.json

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"AI Risks"
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],
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"wiki_links": [
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"AI Governance",
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"Value Alignment",
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"Interpretability",
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"AI Governance",
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"Artificial Intelligence",
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"Adversarial Robustness",
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"AI Alignment",
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"Artificial Intelligence"
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"Interpretability"
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],
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"ontology": {
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"term_id": "AI-0600",

api/pages/pages/Accessibility Standards.json

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"Accessibility Audit Tool"
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],
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"wiki_links": [
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"Assistive Technology Integration",
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"Multi-Modal Interfaces",
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"Design Standards",
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"Inclusive Virtual Experiences",
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"metaverse",
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"Universal Design",
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"Inclusive Virtual Experiences"
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"Design Standards",
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"Multi-Modal Interfaces",
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"Assistive Technology Integration"
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],
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"ontology": {
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"term_id": "MV-9757",

api/pages/pages/Account Abstraction.json

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],
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"wiki_links": [
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"ERC-4337",
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"Blockchain",
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"Ethereum",
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"Ethereum Standard",
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"BlockchainDomain"
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"BlockchainDomain",
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"Ethereum",
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"Blockchain"
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],
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"ontology": {
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"term_id": "BC-9005",

api/pages/pages/Active Learning.json

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"Data Annotation"
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],
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"wiki_links": [
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"Human-in-the-Loop",
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"Labeling Cost",
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"Uncertainty Sampling",
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"Data-Efficient Learning",
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"Online Learning",
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"Semi-Supervised Learning",
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"Machine Learning"
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"Machine Learning",
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"Data-Efficient Learning",
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"Uncertainty Sampling",
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"Human-in-the-Loop",
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"Online Learning"
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],
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"ontology": {
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"term_id": "AI-1013",

api/pages/pages/Adaptive Virtual Experience.json

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"Biosensing Interface"
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],
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"wiki_links": [
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"Virtual Reality Experience",
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"Therapeutic VR",
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"Personalized Learning",
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"User Behavior Tracking",
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"Real-Time Analytics",
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"Dynamic Gaming",
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"Machine Learning",
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"metaverse",
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"Machine Learning"
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"Dynamic Gaming",
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"User Behavior Tracking",
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"Virtual Reality Experience",
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"Therapeutic VR"
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],
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"ontology": {
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"term_id": "MV-9758",

api/pages/pages/Adaptive Virtual World.json

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"Intelligent Virtual Entity"
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],
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"wiki_links": [
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"Procedural Generation",
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"Emergent Gameplay",
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"Neural Networks",
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"Generative AI",
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"Virtual World",
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"metaverse",
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"Persistent World Evolution",
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"Procedural Generation",
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"Neural Networks",
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"Personalized Environments"
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],
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"ontology": {

api/pages/pages/Adversarial Attacks.json

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],
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"wiki_links": [
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"System Manipulation",
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"Model Evasion",
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"Crafted Perturbations",
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"metaverse",
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"Knowledge of Target Model",
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"AI Security Threats",
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"Model Evasion",
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"metaverse"
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"AI Security Threats"
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],
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"ontology": {
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"term_id": "MV-9760",

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