Welcome to AIWiki Malaysia
The free AI knowledge base — with Malaysian context
AIWiki is a free, curated reference for artificial intelligence — written for practitioners, students, and decision-makers in Malaysia. Every article includes a Malaysian Context section covering local regulations, MDEC initiatives, homegrown vendors, and real-world case examples.
Featured Articles
AI Ethics
AI ethics is the branch of applied ethics addressing the moral dimensions of designing, deploying, and governing artificial intelligence systems — covering fairness, accountability, transparency, privacy, and safety.
AI Regulation in Malaysia
An overview of the Malaysian regulatory landscape governing artificial intelligence — covering PDPA, sectoral guidelines, national AI policy, and Malaysia's approach to the global AI governance debate.
Artificial Intelligence
Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems, encompassing learning, reasoning, problem-solving, perception, and language understanding.
Articles
3D Gaussian Splatting
A scene representation and rendering technique that models a 3D scene as millions of coloured 3D Gaussians, enabling high-quality, real-time novel view synthesis.
A/B Testing (ML)
A/B testing in machine learning is a controlled experiment method that compares two or more model variants in production to determine which delivers superior performance on real-world business metrics.
Activation Function
A mathematical function applied to a neuron's output in a neural network that introduces non-linearity, enabling models to learn complex patterns beyond simple linear relationships.
Active Learning
Active learning is a machine learning paradigm in which the algorithm selectively queries a human annotator for labels on the most informative data points, minimising labelling effort while maximising model performance.
Actor-Critic Algorithms
Actor-critic algorithms are reinforcement learning methods that train a policy (the actor) and a value function (the critic) together, trading the bias of bootstrapping for much lower variance than plain policy gradients.
Adam Optimizer
Adam is an adaptive gradient-based optimization algorithm for training neural networks that combines momentum with per-parameter adaptive learning rates derived from estimates of the first and second moments of the gradients.
Adobe Firefly
Adobe Firefly is a family of generative AI models developed by Adobe for creating and editing images, vectors, design assets and video, trained with an emphasis on commercially safe, licensed content.
Adversarial Machine Learning
Adversarial machine learning is the study of attacks that exploit weaknesses in machine learning models, such as crafted inputs that cause misclassification, and of the defences designed to make models more robust.
Aerodyne Group
Aerodyne Group is a Malaysian drone technology and data analytics company ranked among the world's largest commercial drone service providers.
Agent Skills
Agent Skills is an open standard, published by Anthropic in December 2025, for packaging reusable instructions and resources that AI agents load on demand.
Agent2Agent Protocol (A2A)
An open protocol that lets independent AI agents built on different frameworks discover one another, exchange messages, and delegate tasks over a standard interface.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to pursue goals autonomously over extended time horizons by perceiving their environment, reasoning about actions, executing multi-step plans, and learning from outcomes without requiring continuous human instruction.