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Deploy from jjohare/logseq @ a294a5569f511af744be113997c3ba62eb42dd16 jjohare/logseq@a294a55
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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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"Search Algorithms",
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"Graph Theory",
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"Pathfinding",
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"Route Planning",
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"Dijkstra's Algorithm",
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"Priority Queue",
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"Heuristic Methods"
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"Graph Theory",
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"Search Algorithms",
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"Heuristic Methods",
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"Route Planning",
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"Dijkstra's Algorithm"
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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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"Industrial AI",
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"Autonomous Vehicles",
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"AI Deployment",
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"Medical AI",
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"AI Assistant",
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"Artificial Intelligence",
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"Autonomous Vehicles",
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"AI Deployment"
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"AI Assistant",
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"Industrial 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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"GPU Computing",
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"AI Deployment",
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"Artificial Intelligence",
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"Cloud AI",
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"AI Deployment"
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"GPU Computing",
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"Edge AI",
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"Cloud 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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"Adversarial Robustness",
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"Value Alignment",
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"AI Governance",
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"AI Alignment",
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"Adversarial Robustness",
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"Interpretability",
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"Artificial Intelligence",
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"Interpretability"
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"AI Alignment",
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"AI Governance"
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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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"wiki_links": [
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"Universal Design",
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"Design Standards",
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"metaverse",
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"Inclusive Virtual Experiences",
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"Multi-Modal Interfaces",
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"Assistive Technology Integration",
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"metaverse"
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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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"Decentralised Web"
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],
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"wiki_links": [
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"Blockchain",
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"Ethereum Standard",
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"BlockchainDomain",
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"Ethereum",
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"ERC-4337",
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"Blockchain",
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"Ethereum Standard"
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"ERC-4337"
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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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],
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"wiki_links": [
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"Labeling Cost",
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"Human-in-the-Loop",
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"Semi-Supervised Learning",
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"Uncertainty Sampling",
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"Data-Efficient Learning",
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"Human-in-the-Loop",
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"Machine Learning",
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"Online Learning",
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"Machine Learning"
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"Semi-Supervised Learning",
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"Data-Efficient 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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"Therapeutic VR",
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"Virtual Reality Experience",
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"Real-Time Analytics",
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"Therapeutic VR",
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"Personalized Learning",
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"Virtual Reality Experience",
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"metaverse",
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"Dynamic Gaming",
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"User Behavior Tracking",
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"metaverse",
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"Machine Learning"
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],
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"ontology": {

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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"Generative AI",
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"Neural Networks",
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"Virtual World",
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"Generative AI",
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"Persistent World Evolution",
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"Emergent Gameplay",
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"Procedural Generation",
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"metaverse",
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"Personalized Environments",
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"Emergent Gameplay",
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"Procedural Generation"
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"Neural Networks"
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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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"AI Security Threats",
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"Model Evasion",
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"System Manipulation",
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"Knowledge of Target Model",
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"Crafted Perturbations",
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"metaverse",
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"Crafted Perturbations"
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"Knowledge of Target Model",
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"System Manipulation",
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"Model Evasion",
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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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