The technologies in this chapter aren't science fiction — they're already in your pocket and your daily life. The exam wants clear definitions and examples, so for each one, hold on to a simple idea plus a real-world example you actually use.
1Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) is the field of making machines do tasks that normally need human intelligence — understanding language, recognising images, making decisions.
Machine Learning (ML) is a part of AI where, instead of being programmed with fixed rules, a system learns patterns from data and improves with experience. Show it thousands of cat photos and it learns to recognise cats on its own.
- AI = making machines do tasks that need human intelligence (language, vision, decisions).
- ML = a subset of AI where systems learn patterns from data instead of fixed rules.
- Everyday examples: recommendations, maps, face unlock, voice assistants, spam filters.
2IoT and Cloud Computing
Internet of Things (IoT) means everyday physical objects — fitted with sensors and internet connection — that collect and exchange data. A smartwatch tracking your steps, a smart bulb you control from your phone, or a connected fridge are all IoT devices.
Cloud Computing
Cloud computing means using computing resources (storage, software, processing) over the internet, on demand, instead of owning them. When you save a photo to Google Drive or stream from a server, you're using the cloud. It comes in three service models:
| Model | You get | Example |
|---|---|---|
| SaaS (Software as a Service) | Ready-to-use software over the internet | Gmail, Google Docs |
| PaaS (Platform as a Service) | A platform to build & run your own apps | Google App Engine |
| IaaS (Infrastructure as a Service) | Raw computing — servers, storage | Amazon AWS, Microsoft Azure |
Grid computing is related: many separate computers work together over a network on one large task, sharing their processing power — like volunteers pooling their PCs to crunch a huge scientific calculation.
- IoT = everyday physical objects with sensors + internet that collect and exchange data (smartwatch, smart bulb).
- Cloud computing = using storage/software/processing over the internet on demand.
- SaaS = ready software (Gmail); PaaS = platform to build apps; IaaS = raw servers/storage (AWS).
- Grid computing = many networked computers sharing processing power on one big task.
3Blockchain, AR and VR
Blockchain is a digital ledger (record book) shared across many computers, where data is stored in blocks linked together in a chain. Each block is locked to the one before it, so changing an old block would break the whole chain — which makes records extremely hard to tamper with. It's the technology behind cryptocurrencies like Bitcoin, and is used wherever trusted, tamper-proof records matter.
AR and VR
- Virtual Reality (VR) — a fully computer-generated world that replaces your surroundings. You wear a headset and you're somewhere else entirely (a VR game, a virtual classroom).
- Augmented Reality (AR) — digital content added on top of the real world you can still see. Think of a phone app that places a virtual sofa in your actual room, or Pokémon GO.
- Blockchain = a decentralised, tamper-resistant digital ledger of data in linked blocks; powers Bitcoin.
- Changing one block breaks the chain — that's what makes records trustworthy.
- VR replaces your surroundings with a virtual world; AR adds digital content on top of the real world.
★ Practical: spot the technology
For each real-life example, name the technology involved:
- Netflix suggesting a show you'll probably like.
- A fitness band that sends your heart rate to an app.
- Storing your files on Google Drive and using Gmail.
- An app that lets you see how a virtual sofa would look in your real living room.
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