1.Machine Learning
2.Deep Learning
3.Natural Language Processing (NLP)
4.Computer Vision
5.Reinforcement Learning
6.Genetic Algorithms
7.Expert Systems
8.Fuzzy Logic
9.Swarm Intelligence
10.Probabilistic Graphical Models
11.Swarm Robotics
12.Evolutionary Computation
13.Transfer Learning
14.Neuroevolution
15.Inductive Logic Programming
16.Instance-based Learning
17.Case-based Reasoning
18.Probabilistic Programming
19.Bayesian Networks
20.Simulated Annealing
21.Cognitive Computing
22.Imitation Learning
23.One-shot Learning
24.Self-supervised Learning
25.Hybrid Intelligent Systems
26.Deep Reinforcement Learning
27.Active Learning
28.Explainable AI (XAI)
29.Meta-learning
30.Quantum Machine Learning
31.Explainable Reinforcement Learning (XRL)
32.Adversarial Machine Learning
33.Differential Privacy
34.Neurosymbolic AI
35.Reservoir Computing
36.Robust Machine Learning
37.Social Network Analysis (SNA)
38.Evolutionary Robotics
39.Sentiment Analysis
40.Adaptive Learning Systems
41.Knowledge Representation and Reasoning (KRR)
42.Multi-agent Systems (MAS)
43.Hybrid Recommender Systems
44.Spatial Reasoning
45.Temporal Reasoning
46.Automated Planning and Scheduling
47.Interactive Learning Systems
48.Incremental Learning
49.Structured Prediction
50.Conversational AI
51.Knowledge Graphs
52.Self-organizing Maps (SOM)
53.Conformal Prediction
54.Evolutionary Strategies: Metode optimisasi yang menginspirasi dari alam dengan menggunakan teknik evolusi untuk mencari solusi terbaik dalam ruang pencarian yang kompleks.
55.Quantum Computing for AI
56.Kernel Methods
57.Dynamic Time Warping (DTW)
58.Imbalanced Learning
59.Monte Carlo Tree Search (MCTS)
60.Differentiable Programming
61.Neuroevolution of Augmenting Topologies (NEAT)
62.Hyperparameter Optimization
63.Multi-instance Learning
64.Automated Machine Learning (AutoML)
65.Quantum-inspired Computing
66.Few-shot Learning
67.Anomaly Detection
68.Capsule Networks
69.Neuromorphic Computing
70.Adaptive Resonance Theory (ART)
71.Neuroevolutionary Learning
72.Surrogate Modeling
73.Elasticsearch
74.Unsupervised Feature Learning
75.Graph Neural Networks (GNNs)
76.Temporal Convolutional Networks (TCNs)
77.Differentiable Neural Computer (DNC)
78.Evolutionary Swarm Robotics
79.Markov Decision Processes (MDPs)
80.Proximal Policy Optimization (PPO)
81.Intrinsic Motivation
82.Deep Q-Networks (DQN)
83.Transformer Architecture
84.Capsule Networks
85.Explainable Meta-learning
86.Quantum-inspired Neural Networks
87.Generative Adversarial Networks (GANs)
88.Semi-supervised Learning
89.Temporal-Difference Learning
90.Self-organizing Feature Maps (SOFM)
91.Counterfactual Reasoning
92.Homomorphic Encryption
93.Differential Evolution
94.Dynamic Bayesian Networks (DBNs)
95.Sparse Coding
96.Elastic Graph Embedding
97.Transformer Networks for Video Understanding
98.Quantum-inspired Optimization Algorithms
99.Differentiable Rendering
100.Self-attention Mechanisms in Reinforcement Learning
101.Bayesian Optimization
102.Memory Augmented Neural Networks
103.Explainable Reinforcement Learning with Natural Language Generation
104.Evolutionary Game Theory for Multi-agent Systems
105.Temporal-Difference Learning
106.Elastic Graph Embedding
107.Self-attention Mechanisms in Reinforcement Learning
108.Elasticsearch
109.Counterfactual Reasoning
110. Explainable Reinforcement Learning with Natural Language Generation
111.Evolutionary Game Theory for Multi-agent Systems