← AI Terminology
Artificial Intelligence - AI
Artificial Intelligence (AI) refers to computer systems designed to perform tasks that would normally require human intelligence — such as reasoning, learning, perception, language understanding, and decision-making.
The term was coined in 1956 at the Dartmouth Conference, where the field was formally founded.
The term was coined in 1956 at the Dartmouth Conference, where the field was formally founded.
Why It Matters in AI
AI is the defining technology of the current decade: it is reshaping software development, healthcare, finance, scientific research, and creative work simultaneously. Understanding AI — at both a technical and business level — is essential for investors, policymakers, and practitioners navigating a world where AI capabilities are advancing at an unprecedented pace.
Key Points
| Aspect | Description |
|---|---|
| ML subset | Machine learning is AI that learns from data rather than executing hand-coded rules |
| Major labs | OpenAI, Anthropic, Google DeepMind, Meta AI, xAI, Mistral, Cohere |
| Deep learning | ML subset using neural networks with many layers — currently the dominant paradigm |
| Key techniques | Supervised learning, reinforcement learning, generative models, transformers |
| Narrow AI (ANI) | Excels at a specific task (chess, image classification, translation) — all current systems |
| General AI (AGI) | Hypothetical: performs any intellectual task a human can — not yet achieved |
Simple Analogy
AI is the umbrella: machine learning is one room in the house, deep learning is a room inside that room, and large language models are a specific piece of furniture in that inner room. "AI" can mean anything from a decision-tree spam filter to GPT-4 — context determines which level of the hierarchy is meant.
Common Usage Examples
- Image recognition: convolutional neural networks classifying X-rays or identifying objects
- Natural language processing: LLMs drafting emails, answering questions, translating documents
- Autonomous vehicles: perception, planning, and control systems combining multiple AI sub-fields
- Recommendation systems: collaborative filtering + deep learning behind Netflix, Spotify, TikTok
- AlphaFold: AI predicting protein 3D structure from amino-acid sequence — transformed biology
Summary
In short: AI is any system that mimics intelligent behaviour — and today's AI, powered by deep learning and vast data, is reshaping every industry on Earth.