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Deploy from jjohare/logseq @ a103a4b7e016b208e441532ee85b8a5e4810dfd5 jjohare/logseq@a103a4b
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api/pages/pages/A-Star Algorithm.json

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],
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"wiki_links": [
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"Heuristic Methods",
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"Graph Theory",
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"Search Algorithms",
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"Dijkstra's Algorithm",
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"Search Algorithms",
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"Graph Theory",
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"Pathfinding",
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"Route Planning",
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"Priority Queue",
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"Pathfinding"
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"Priority Queue"
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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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"Medical AI",
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"Autonomous Vehicles",
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"Industrial AI",
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"AI Assistant",
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"AI Deployment",
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"Artificial Intelligence",
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"AI Deployment"
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"AI Assistant",
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"Industrial AI",
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"Autonomous Vehicles",
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"Medical AI"
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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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"Edge AI",
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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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"Artificial Intelligence",
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"AI Deployment"
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"Edge AI"
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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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"AI Alignment",
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"Artificial Intelligence",
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"Value Alignment",
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"Interpretability",
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"Adversarial Robustness",
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"Artificial Intelligence"
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"AI Governance",
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"Interpretability",
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"AI Alignment"
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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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"metaverse",
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"Universal Design",
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"Assistive Technology Integration",
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"Inclusive Virtual Experiences",
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"Design Standards",
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"Universal Design",
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"metaverse",
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"Multi-Modal Interfaces",
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"Inclusive Virtual Experiences"
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"Multi-Modal Interfaces"
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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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"Decentralised Web"
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],
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"wiki_links": [
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"Blockchain",
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"Ethereum",
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"BlockchainDomain",
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"Blockchain",
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"Ethereum Standard",
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"BlockchainDomain",
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"ERC-4337"
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],
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"ontology": {

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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"Labeling Cost",
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"Machine Learning",
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"Data-Efficient Learning",
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"Uncertainty Sampling",
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"Labeling Cost",
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"Online Learning",
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"Uncertainty Sampling",
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"Human-in-the-Loop",
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"Semi-Supervised Learning"
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"Semi-Supervised Learning",
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"Machine 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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"Personalized Learning",
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"Machine Learning",
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"Therapeutic VR",
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"Real-Time Analytics",
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"metaverse",
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"Therapeutic VR",
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"Dynamic Gaming",
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"Virtual Reality Experience",
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"Personalized Learning",
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"User Behavior Tracking",
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"Virtual Reality Experience"
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"Real-Time Analytics",
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"Machine Learning"
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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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],
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"wiki_links": [
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"Emergent Gameplay",
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"Persistent World Evolution",
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"Virtual World",
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"Generative AI",
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"metaverse",
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"Virtual World",
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"Persistent World Evolution",
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"Personalized Environments",
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"Generative AI",
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"Neural Networks",
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"Procedural Generation"
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"Procedural Generation",
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"Neural Networks"
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"ontology": {
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"term_id": "MV-9759",

api/pages/pages/Adversarial Attacks.json

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

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