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Computer Aptitude · 1 Q

Future of Computers (AI, Cloud, IoT)

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Study notes

Artificial Intelligence (AI)

AI is the ability of machines to perform tasks that normally need human intelligence – learning, reasoning, understanding language and recognising images. The term was coined by John McCarthy at the Dartmouth conference in 1956. Alan Turing proposed the Turing Test (1950) to judge machine intelligence.

TermMeaning
Machine Learning (ML)Subset of AI; systems learn patterns from data instead of being explicitly programmed for every rule
Deep LearningML using many-layered neural networks; powers image and speech recognition
NLPNatural Language Processing; understanding human language (chatbots, voice assistants, translation)
Generative AICreates new text, images or code; built on large language models (LLMs)
Computer visionUnderstanding images and video (face recognition, cheque image scanning)
Expert systemRule-based system copying a human expert's decisions
Robotics / RPAPhysical robots / software bots doing repetitive rule-based tasks (data entry, reconciliation)

Banking uses AI for fraud detection, credit scoring, chatbots (e.g. SBI's SIA) and customer analytics.

Cloud computing

Delivery of computing services – servers, storage, databases, software – over the Internet on a pay-as-you-go basis.

Service modelProvider givesUser managesExamples
IaaS (Infrastructure as a Service)Virtual machines, storage, networksOS, middleware, apps, dataAWS EC2, Azure Virtual Machines, Google Compute Engine
PaaS (Platform as a Service)Runtime, OS, development toolsOwn applications and dataGoogle App Engine, Heroku, Azure App Service
SaaS (Software as a Service)Complete ready-to-use applicationOnly usage and settingsGmail, Microsoft 365, Salesforce, Google Docs

Deployment models: public cloud (shared, provider-owned), private cloud (one organisation), hybrid cloud (private + public), community cloud (shared by organisations with common needs). Benefits: scalability, lower upfront cost, anywhere access. Concerns: data security, dependence on the Internet, vendor lock-in.

Edge computing processes data near its source (sensors, ATMs) to cut delay; fog computing is a layer between edge and cloud; grid computing links many computers to work on one large task.

Internet of Things (IoT)

A network of physical objects with sensors, software and connectivity that collect and exchange data – smart meters, wearables, smart homes, connected cars, FASTag-style RFID systems. The term is credited to Kevin Ashton (1999). IoT relies on sensors, connectivity (Wi-Fi, Bluetooth, 5G, Zigbee), cloud platforms and analytics.

Blockchain

  • A decentralised, distributed ledger: records are grouped in blocks, each linked to the previous one by a cryptographic hash, making tampering very difficult.
  • Copies are held by many nodes; new blocks are agreed through consensus (Proof of Work, Proof of Stake).
  • Bitcoin – first major application, described in a 2008 white paper by the pseudonymous Satoshi Nakamoto.
  • Ethereum (Vitalik Buterin) introduced smart contracts – self-executing code on the blockchain.
  • Banking uses: trade finance, cross-border payments, KYC sharing. India's RBI pilots the e-Rupee (CBDC), a digital currency issued by the central bank.

Big Data

Data sets too large or fast for traditional tools. The original 3 Vs: Volume, Velocity, Variety; later additions: Veracity and Value. Tools: Hadoop, Spark. Data analytics turns such data into decisions.

Other emerging technologies

TechnologyKey idea
Quantum computingUses qubits, which can be in a superposition of 0 and 1; entanglement links qubits
Augmented Reality (AR)Overlays digital content on the real world (Pokémon GO, try-on apps)
Virtual Reality (VR)Fully computer-generated immersive world, usually through a headset
Mixed Reality / MetaverseBlends real and virtual; shared virtual spaces
5GFifth-generation mobile network: high speed, very low latency, supports massive IoT
3D printingAdditive manufacturing, building objects layer by layer
Digital twinVirtual copy of a physical system for simulation
Cyber-physical systemsComputing tightly integrated with physical processes
Exam tip: Gmail = SaaS, Google App Engine = PaaS, AWS EC2 = IaaS. Qubit = quantum; smart contract = blockchain; Kevin Ashton = IoT; John McCarthy = AI.
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