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Deploy from jjohare/logseq @ e66189db42066500ffe77db3bd84100c3d803d7e jjohare/logseq@e66189d
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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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"Priority Queue",
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"Dijkstra's Algorithm",
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"Route Planning",
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"Graph Theory",
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"Pathfinding",
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"Heuristic Methods",
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"Search Algorithms"
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"Pathfinding",
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"Search Algorithms",
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"Dijkstra's Algorithm",
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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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"Autonomous Vehicles",
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"Artificial Intelligence",
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"Industrial AI",
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"Medical AI",
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"AI Assistant",
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"Industrial AI",
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"AI Deployment"
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"AI Deployment",
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"Autonomous Vehicles",
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"Artificial Intelligence"
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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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"Artificial Intelligence",
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"GPU Computing",
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"Edge AI",
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"AI Deployment",
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"Cloud AI",
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"GPU Computing"
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"Artificial Intelligence"
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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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],
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"wiki_links": [
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"Value Alignment",
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"AI Governance",
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"Artificial Intelligence",
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"Adversarial Robustness",
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"AI Governance",
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"Interpretability",
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"AI Alignment",
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"Interpretability"
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"Artificial Intelligence"
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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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"Inclusive Virtual Experiences",
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"metaverse",
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"Universal Design",
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"Design Standards",
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"Multi-Modal Interfaces",
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"Assistive Technology Integration"
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"Design Standards",
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"Universal Design",
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"Assistive Technology Integration",
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"Inclusive Virtual Experiences",
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"metaverse"
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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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"ERC-4337",
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"Ethereum Standard",
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"ERC-4337",
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"BlockchainDomain",
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"Ethereum",
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"Blockchain"

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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"Semi-Supervised Learning",
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"Human-in-the-Loop",
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"Uncertainty Sampling",
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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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"Labeling Cost",
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"Semi-Supervised Learning",
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"Online Learning"
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],
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"ontology": {

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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"Real-Time Analytics",
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"Machine Learning",
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"metaverse",
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"Therapeutic VR",
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"Virtual Reality Experience",
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"Personalized Learning",
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"Dynamic Gaming",
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"Machine Learning",
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"User Behavior Tracking",
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"Virtual Reality Experience",
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"Therapeutic VR"
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"metaverse"
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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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"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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"Persistent World Evolution",
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"Virtual World",
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"Personalized Environments",
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"Emergent Gameplay",
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"metaverse"
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],
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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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"System Manipulation",
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"Model Evasion",
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"Crafted Perturbations",
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"metaverse",
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"System Manipulation",
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"Knowledge of Target Model",
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"AI Security Threats"
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"AI Security Threats",
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"metaverse",
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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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