Deploy from jjohare/logseq @ 4b4e3089a7cd668cb8502b769829f00cdeb57e87 jjohare/logseq@4b4e308

Author: jjohare

api/pages/pages/A-Star Algorithm.json

@@ -7,13 +7,13 @@
     "RB-1018-dijkstra-algorithm"
   ],
   "wiki_links": [
-    "Route Planning",
-    "Graph Theory",
-    "Heuristic Methods",
-    "Pathfinding",
     "Search Algorithms",
     "Dijkstra's Algorithm",
-    "Priority Queue"
+    "Priority Queue",
+    "Route Planning",
+    "Pathfinding",
+    "Graph Theory",
+    "Heuristic Methods"
   ],
   "ontology": {
     "term_id": "AI-1004",

api/pages/pages/AI Applications.json

@@ -4,12 +4,12 @@
   "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]]",
   "backlinks": [],
   "wiki_links": [
-    "Industrial AI",
-    "Medical AI",
+    "Artificial Intelligence",
     "AI Assistant",
-    "AI Deployment",
     "Autonomous Vehicles",
-    "Artificial Intelligence"
+    "Medical AI",
+    "Industrial AI",
+    "AI Deployment"
   ],
   "ontology": {
     "term_id": "AI-0604",

api/pages/pages/AI Infrastructure.json

@@ -4,11 +4,11 @@
   "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]]",
   "backlinks": [],
   "wiki_links": [
+    "Artificial Intelligence",
     "GPU Computing",
     "Edge AI",
     "AI Deployment",
-    "Cloud AI",
-    "Artificial Intelligence"
+    "Cloud AI"
   ],
   "ontology": {
     "term_id": "AI-0603",

api/pages/pages/AI Safety.json

@@ -11,12 +11,12 @@
     "AI Risks"
   ],
   "wiki_links": [
-    "Value Alignment",
-    "Adversarial Robustness",
-    "AI Governance",
     "Interpretability",
     "AI Alignment",
-    "Artificial Intelligence"
+    "Artificial Intelligence",
+    "AI Governance",
+    "Value Alignment",
+    "Adversarial Robustness"
   ],
   "ontology": {
     "term_id": "AI-0600",

api/pages/pages/Accessibility Standards.json

@@ -6,12 +6,12 @@
     "Accessibility Audit Tool"
   ],
   "wiki_links": [
+    "Assistive Technology Integration",
     "Multi-Modal Interfaces",
-    "Design Standards",
+    "metaverse",
     "Universal Design",
-    "Assistive Technology Integration",
-    "Inclusive Virtual Experiences",
-    "metaverse"
+    "Design Standards",
+    "Inclusive Virtual Experiences"
   ],
   "ontology": {
     "term_id": "MV-9757",

api/pages/pages/Account Abstraction.json

@@ -7,10 +7,10 @@
     "Decentralised Web"
   ],
   "wiki_links": [
-    "Ethereum Standard",
-    "ERC-4337",
-    "BlockchainDomain",
     "Ethereum",
+    "BlockchainDomain",
+    "ERC-4337",
+    "Ethereum Standard",
     "Blockchain"
   ],
   "ontology": {

api/pages/pages/Active Learning.json

@@ -8,12 +8,12 @@
   ],
   "wiki_links": [
     "Human-in-the-Loop",
-    "Uncertainty Sampling",
-    "Machine Learning",
     "Data-Efficient Learning",
-    "Labeling Cost",
     "Semi-Supervised Learning",
-    "Online Learning"
+    "Machine Learning",
+    "Online Learning",
+    "Labeling Cost",
+    "Uncertainty Sampling"
   ],
   "ontology": {
     "term_id": "AI-1013",

api/pages/pages/Adaptive Virtual Experience.json

@@ -6,14 +6,14 @@
     "Biosensing Interface"
   ],
   "wiki_links": [
-    "Real-Time Analytics",
     "Therapeutic VR",
     "Virtual Reality Experience",
+    "Real-Time Analytics",
+    "metaverse",
     "Personalized Learning",
-    "Dynamic Gaming",
     "Machine Learning",
     "User Behavior Tracking",
-    "metaverse"
+    "Dynamic Gaming"
   ],
   "ontology": {
     "term_id": "MV-9758",

api/pages/pages/Adaptive Virtual World.json

@@ -9,11 +9,11 @@
     "Neural Networks",
     "Generative AI",
     "Procedural Generation",
+    "metaverse",
+    "Emergent Gameplay",
     "Persistent World Evolution",
     "Virtual World",
-    "Personalized Environments",
-    "Emergent Gameplay",
-    "metaverse"
+    "Personalized Environments"
   ],
   "ontology": {
     "term_id": "MV-9759",

api/pages/pages/Adversarial Attacks.json

@@ -7,11 +7,11 @@
     "Perception System"
   ],
   "wiki_links": [
-    "Model Evasion",
     "System Manipulation",
-    "Knowledge of Target Model",
     "AI Security Threats",
     "metaverse",
+    "Model Evasion",
+    "Knowledge of Target Model",
     "Crafted Perturbations"
   ],
   "ontology": {