Emerging Technologies: AI, Cloud, IoT and Blockchain
Computer awareness notes on emerging technologies: artificial intelligence, machine learning, cloud service models, the Internet of Things and blockchain basics.
By GK24 Editorial Team· Published · 5 min read

Computer awareness papers no longer stop at the parts of a keyboard. Banking, SSC and railway examinations now carry a question or two on the technologies that are changing how computing is bought and used: software that learns from data instead of being told every rule, computing power rented by the hour from somebody else's data centre, and ordinary objects given a sensor and an address on the internet. The names sound difficult, but every examinable fact in this chapter is a definition, a full form, a coiner's name or a three item classification, and that is exactly how it is asked.
Artificial intelligence, machine learning and deep learning
Artificial intelligence is the branch of computer science that tries to make machines do the things that need human intelligence: understand language, recognise a face, plan a route, play a game, take a decision under uncertainty. The term was coined by John McCarthy, who proposed the Dartmouth conference of 1956 and is called the father of artificial intelligence. Six years earlier Alan Turing had asked whether machines can think and proposed a practical test: if a human questioner cannot tell a machine's answers from a person's, the machine has passed. This is the Turing test, and its aim is to judge intelligent behaviour rather than to look inside the machine.
The three names people use loosely sit one inside the other. Artificial intelligence is the widest field. Machine learning is a part of it, in which a program is not given the rules but is shown examples and works out the pattern by itself; its three families are supervised learning from labelled examples, unsupervised learning from unlabelled data where the program finds its own groupings, and reinforcement learning by reward and penalty. Deep learning is in turn a part of machine learning, using artificial neural networks with many hidden layers, and it is what made speech recognition, image recognition and machine translation work well. Related branches worth knowing are natural language processing, which handles human language, computer vision, which handles images, expert systems, which store the rules of a human specialist, and generative models, which produce new text or images rather than only classifying. Artificial intelligence in use today is narrow or weak, good at one task only; general artificial intelligence, matching a human across tasks, does not yet exist. NITI Aayog published India's National Strategy for Artificial Intelligence in 2018 under the theme AI for All.
Cloud computing
Cloud computing means using computing resources, that is servers, storage, databases, networks and software, over the internet from a provider's data centre, on demand and paid for by use, instead of buying and housing the hardware yourself. The technology that makes it possible is virtualisation: a program called a hypervisor divides one physical machine into many virtual machines that can be created and destroyed in seconds. The standard definition of the National Institute of Standards and Technology lists five essential characteristics, namely on demand self service, broad network access, resource pooling, rapid elasticity and measured service, and the last two explain both the appeal and the billing.
Cloud offerings are classified in two ways, and both classifications are asked. By what the provider supplies there are three service models. By who may use the cloud there are four deployment models: a public cloud, open to anyone who pays; a private cloud, built for one organisation alone; a hybrid cloud, joining the two so that sensitive data stays private while the public cloud absorbs peaks; and a community cloud, shared by organisations with a common purpose. The Government of India's own cloud initiative, GI Cloud, is called MeghRaj.
| Service model | What the provider gives | What the user manages |
|---|---|---|
| Infrastructure as a Service | Virtual machines, storage, network | Operating system and everything above it |
| Platform as a Service | A ready environment to run code, with the operating system and database | Only the application and its data |
| Software as a Service | The finished application, used through a browser | Only the data and the settings |
The Internet of Things
The Internet of Things is a network of ordinary physical objects, each fitted with sensors, a small processor and a way to communicate, so that they collect data and act without a person operating them. The phrase was coined by Kevin Ashton in 1999 while he was working on radio frequency identification tags in supply chains. Four parts make up any such system: the sensors that measure, the connectivity that carries the reading, the processing that turns readings into a decision, and the interface through which a person sees or overrides it. A smart electricity meter that reports consumption by itself, a fitness band that counts steps, a street light that dims when the road is empty and a factory motor that warns before it fails are all examples; the industrial version is called the Industrial Internet of Things. Because every object needs its own address, the vast address space of IPv6 matters here, and because these devices are small and rarely updated, security and privacy are their weakest point. Doing part of the computing on the device or a nearby gateway instead of sending everything to a distant data centre is called edge computing, and it is used where delay cannot be tolerated.
Blockchain, big data and quantum computing
A blockchain is a distributed ledger: the same record is held by many computers, entries are grouped into blocks, and each block stores the cryptographic hash of the block before it, so altering an old entry would change every hash after it and be noticed at once. This is why a blockchain is described as tamper evident and append only, and it needs no central authority; the idea was set out in the 2008 Bitcoin paper published under the name Satoshi Nakamoto, and the same technology is now used for land records, certificates and supply chain tracking. Big data means data sets too large and too fast moving for ordinary tools, described by the five Vs of volume, velocity, variety, veracity and value. Quantum computing replaces the bit, which is either zero or one, with the qubit, which can hold a superposition of both, and uses entanglement between qubits; for a few special problems this promises speeds no classical machine can match. Augmented reality adds computer generated objects to the view of the real world, while virtual reality replaces the view altogether. A digital twin is a running software model of a real machine, fed by its sensors, used to test changes before making them.
Exam Point of View
Questions from this topic come in four shapes. First, who gave what: McCarthy for the term artificial intelligence, Turing for the test, Ashton for the Internet of Things, and the distractors are almost always Babbage, Berners-Lee and Vint Cerf. Second, classifications counted and named: three service models of cloud against four deployment models, three families of machine learning, four parts of an Internet of Things system, five Vs of big data. A very common form asks which item in a list is not a deployment model, with hypervisor slipped in. Third, full forms: IaaS, PaaS, SaaS, RFID, NFC, IoT and IIoT. Fourth, the nesting of artificial intelligence, machine learning and deep learning, asked as a correct statement question in which one option inverts the order. Government names are worth a mark on their own, MeghRaj for the cloud and BharatNet for fibre, and these are the two that get swapped.
Important Facts
| Coined artificial intelligence | John McCarthy, in the proposal for the Dartmouth conference of 1956 |
|---|---|
| Turing test | Proposed by Alan Turing in 1950 |
| Nesting of the three terms | Deep learning inside machine learning inside artificial intelligence |
| Families of machine learning | Supervised, unsupervised and reinforcement |
| Deep learning uses | Artificial neural networks with many hidden layers |
| Narrow and general AI | All AI in use today is narrow or weak; general AI does not yet exist |
| India's AI strategy | National Strategy for Artificial Intelligence, NITI Aayog, 2018 |
| Cloud service models | Infrastructure, Platform and Software as a Service |
| Cloud deployment models | Public, private, hybrid and community |
| Essential characteristics of cloud | On demand self service, broad network access, resource pooling, rapid elasticity, measured service |
| Software that creates virtual machines | Hypervisor, also called a virtual machine monitor |
| Government of India Cloud | MeghRaj, the GI Cloud |
| Coined Internet of Things | Kevin Ashton, 1999 |
| RFID | Radio Frequency Identification |
| Parts of an IoT system | Sensors, connectivity, data processing, user interface |
| Computing near the device | Edge computing, used where delay cannot be tolerated |
| Blockchain | Distributed ledger in which each block holds the hash of the previous block |
| Bitcoin paper | Published in 2008 under the name Satoshi Nakamoto |
| Five Vs of big data | Volume, velocity, variety, veracity, value |
| Quantum unit of information | Qubit, which can be in a superposition of 0 and 1 |
Practice MCQs on this topic
Who coined the term artificial intelligence and is therefore called the father of artificial intelligence?
- A.Alan Turing
- B.John McCarthy
- C.Charles Babbage
- D.Marvin Minsky
Show answer
Correct answer: B. John McCarthy
Explanation
The correct answer is B, John McCarthy. The American computer scientist John McCarthy used the phrase artificial intelligence in the proposal for the Dartmouth conference of 1956, the meeting generally treated as the birth of the subject as a separate field, and he is therefore called the father of artificial intelligence; he also created the programming language LISP, long used for such work. Option A is wrong because Alan Turing came earlier and asked the deeper question whether machines can think, giving the Turing test in 1950, but he did not use the term artificial intelligence. Option C is wrong because Charles Babbage designed the Difference Engine and the Analytical Engine in the nineteenth century and is called the father of the computer, not of artificial intelligence. Option D is wrong because Marvin Minsky, although a founder of the field and a participant at Dartmouth, did not coin the name. Keep the two fatherhoods apart: Babbage for the computer, McCarthy for artificial intelligence.
The Turing test is used to judge ______.
- A.The speed of a processor
- B.Whether a machine can display intelligent behaviour indistinguishable from a human
- C.The storage capacity of a hard disk
- D.The strength of an encryption key
Show answer
Correct answer: B. Whether a machine can display intelligent behaviour indistinguishable from a human
Explanation
The correct answer is B. Alan Turing proposed in 1950 that instead of arguing about what thinking means, we should set a practical trial: a human questioner communicates in writing with an unseen machine and an unseen person, and if the questioner cannot reliably tell which is which, the machine is said to have passed. The test therefore judges behaviour from the outside and says nothing about how the machine works inside, which is exactly the point Turing was making. Option A is wrong because processor speed is measured in clock cycles and by benchmark programs, not by a conversation. Option C is wrong because storage is simply counted in bytes and their multiples. Option D is wrong because the strength of an encryption key is judged by its length in bits and by the effort needed to break the cipher, a matter of cryptography. Note the year and the paper together: Turing's question whether machines can think came in 1950, six years before the term artificial intelligence was coined.
A web based email service such as a browser accessed mailbox is an example of which cloud service model?
- A.Infrastructure as a Service
- B.Platform as a Service
- C.Software as a Service
- D.Network as a Service
Show answer
Correct answer: C. Software as a Service
Explanation
The correct answer is C, Software as a Service. In this model the provider runs the finished application on its own servers and the user simply opens it in a browser, managing nothing but the data and a few settings; a web mailbox, an online office suite and a hosted customer records system all work this way. Option A is wrong because Infrastructure as a Service supplies only the raw building blocks, virtual machines, storage and network, and the customer must install the operating system and every program above it. Option B is wrong because Platform as a Service supplies a ready environment with the operating system, the runtime and the database already in place, so that a developer need only upload the application code; it is aimed at developers, not at end users. Option D is wrong because network as a service is not one of the three standard models, which are infrastructure, platform and software. A simple memory rule is that the higher the model, the less the customer manages.
Which of the following is NOT a deployment model of cloud computing?
- A.Public cloud
- B.Private cloud
- C.Hybrid cloud
- D.Hypervisor cloud
Show answer
Correct answer: D. Hypervisor cloud
Explanation
The correct answer is D, hypervisor cloud, because no such deployment model exists. A hypervisor is a piece of software, also called a virtual machine monitor, that divides one physical server into several virtual machines; it is the tool that makes cloud computing possible, not a way of deploying a cloud. Option A is wrong as an answer because the public cloud, open to any customer who pays for it, is a genuine deployment model and the commonest one. Option B is wrong because a private cloud, built and reserved for a single organisation so that it keeps full control of its data, is equally standard. Option C is wrong because a hybrid cloud, which joins a private cloud to a public one so that sensitive workloads stay inside while sudden peaks of demand spill outside, is the third. The fourth, which the question does not list, is the community cloud, shared by several organisations with a common concern. Do not confuse the four deployment models with the three service models.
The term Internet of Things was coined by ______.
- A.Tim Berners-Lee
- B.Kevin Ashton
- C.Vint Cerf
- D.Ray Tomlinson
Show answer
Correct answer: B. Kevin Ashton
Explanation
The correct answer is B, Kevin Ashton. The British technologist Kevin Ashton used the phrase Internet of Things in 1999 while working on radio frequency identification tags for tracking goods through a supply chain; his point was that if every object could report its own position and state, the internet would no longer depend on people typing data into it. Option A is wrong because Tim Berners-Lee invented the World Wide Web at CERN in 1989, along with the first browser, the first server and the HTTP protocol, which is a different thing from the Internet of Things. Option C is wrong because Vint Cerf, with Robert Kahn, designed the TCP and IP protocols and is called a father of the internet itself. Option D is wrong because Ray Tomlinson sent the first network email and chose the at sign to separate the user from the host. A useful line to remember is that the web is for documents, the internet is for computers and the Internet of Things is for objects.
What is the full form of RFID, a technology widely used in the Internet of Things?
- A.Radio Frequency Identification
- B.Remote Field Input Device
- C.Rapid File Indexing Directory
- D.Real Frequency Internet Data
Show answer
Correct answer: A. Radio Frequency Identification
Explanation
The correct answer is A, Radio Frequency Identification. An RFID system has a tag carrying a tiny chip and an antenna, and a reader that sends out radio waves; the tag answers with its stored identity, so an object can be recognised without being seen or touched and without a line of sight, unlike a barcode that must be shown to a scanner. Passive tags carry no battery and draw their power from the reader's signal, which is why they can be made as thin as a label. RFID is used in toll collection, library books, baggage handling, warehouse stock and animal identification, and it was work on exactly such tags that led Kevin Ashton to the phrase Internet of Things. Option B, option C and option D are all invented expansions that do not correspond to any real technology; they are offered only because they use the same letters. Note the related short range technology NFC, near field communication, which is the basis of tap to pay cards.
In a blockchain, what makes it practically impossible to alter a record once it has been added?
- A.Each block stores the cryptographic hash of the previous block
- B.The data is stored on a single secure server
- C.The records are protected by a password
- D.Each block is encrypted with the user's fingerprint
Show answer
Correct answer: A. Each block stores the cryptographic hash of the previous block
Explanation
The correct answer is A. Entries on a blockchain are grouped into blocks, and every block carries the cryptographic hash, a short fixed length fingerprint, of the block immediately before it. Changing even one character inside an old block changes that block's hash, which no longer matches the value recorded in the next block, and so the mismatch cascades through every later block; since identical copies of the chain are held by many computers on the network, the tampered copy is rejected at once. This is why a blockchain is called tamper evident and append only. Option B is wrong because it states the opposite of the design: a blockchain is deliberately distributed across many nodes and has no single server to attack. Option C is wrong because a password controls who may write, not whether a written record can be silently changed. Option D is wrong because fingerprints are a means of authenticating a person and are not used to seal blocks. The idea was published in the 2008 Bitcoin paper under the name Satoshi Nakamoto.
The basic unit of information in a quantum computer is called a ______.
- A.Bit
- B.Byte
- C.Qubit
- D.Nibble
Show answer
Correct answer: C. Qubit
Explanation
The correct answer is C, a qubit. A classical computer stores information in bits, each of which must be either zero or one at a given moment. A quantum computer uses a quantum bit, shortened to qubit, which can be in a superposition of zero and one at the same time, and qubits can also be entangled so that the state of one is tied to the state of another. These two properties allow a quantum machine to explore many possibilities together, which is why certain problems in factorisation, search and molecular simulation could be solved far faster than on any classical machine. Option A is wrong because the bit is the unit of classical computing, the very thing the qubit replaces. Option B is wrong because a byte is simply a group of eight bits, the usual unit for measuring storage. Option D is wrong because a nibble is a group of four bits, that is half a byte. Remember the trio of terms that come with the qubit: superposition, entanglement and decoherence, the last being the loss of the quantum state through disturbance.
Which of the following statements about artificial intelligence, machine learning and deep learning is correct?
- A.Deep learning is a subset of machine learning, which is a subset of artificial intelligence
- B.Artificial intelligence is a subset of machine learning
- C.Machine learning is a subset of deep learning
- D.The three terms mean exactly the same thing
Show answer
Correct answer: A. Deep learning is a subset of machine learning, which is a subset of artificial intelligence
Explanation
The correct answer is A. The three terms sit one inside the other like circles. Artificial intelligence is the whole field of making machines behave intelligently, and it includes approaches that use no learning at all, such as rule based expert systems and search algorithms. Machine learning is the part of it in which the program is shown examples and works out the pattern itself instead of being given the rules. Deep learning is a part of machine learning that uses artificial neural networks with many hidden layers, and it is what made image recognition, speech recognition and machine translation work well. Option B is wrong because it inverts the outermost relation; artificial intelligence is the widest of the three, not the narrowest. Option C is wrong because it inverts the inner relation: deep learning is inside machine learning, not the other way round. Option D is wrong because the three are nested and not identical, and examiners test exactly this nesting. The three families of machine learning are supervised, unsupervised and reinforcement learning.
MeghRaj is the name of which initiative of the Government of India?
- A.The national cloud computing initiative
- B.A weather forecasting satellite
- C.A rural broadband scheme
- D.A digital payments platform
Show answer
Correct answer: A. The national cloud computing initiative
Explanation
The correct answer is A, the national cloud computing initiative. MeghRaj is the name given to the Government of India Cloud, usually shortened to GI Cloud, under which government departments obtain their computing and storage from a common set of government managed data centres rather than each building its own. The aim is to cut duplicated hardware, shorten the time taken to launch an e-governance application and let departments pay only for what they use, and the name itself joins the Hindi word for cloud to the idea of governance. Option B is wrong because India's weather satellites belong to the INSAT series and the observation work is done by the India Meteorological Department, not by a cloud programme. Option C is wrong because rural connectivity is the business of the BharatNet optical fibre programme. Option D is wrong because digital payments run on the Unified Payments Interface and related systems built by the National Payments Corporation of India. Learn MeghRaj together with the three service models, since a question often pairs them.
Frequently Asked Questions
What is the difference between artificial intelligence and machine learning?
Artificial intelligence is the goal and machine learning is one way of reaching it. Artificial intelligence covers every method of making a machine behave intelligently, including rule based expert systems in which a human writes out all the rules. Machine learning is the narrower approach in which no rules are written: the program is shown many examples and infers the pattern itself, and it improves as more data arrives. Deep learning is a narrower part of machine learning still, built on neural networks with many layers.
How do the three cloud service models differ from each other?
They differ in how much the provider takes off your hands. Infrastructure as a Service gives you bare virtual machines, storage and network, and you install the operating system and every program yourself. Platform as a Service gives you a ready environment with the operating system, runtime and database in place, so you upload only your application code. Software as a Service gives you the finished application in a browser, and you manage nothing but your data and settings. The higher you go, the less control and the less work.
Why is cloud computing cheaper for most organisations?
Because it converts a large one time purchase into a running charge for what is used. Buying servers means paying in advance for the highest load you ever expect, and that capacity sits idle most of the year. A cloud provider pools hardware across thousands of customers, so it can hand out capacity in minutes when a customer needs it and take it back when the peak passes. The customer pays only for the hours consumed, and it is this pair of characteristics, rapid elasticity and measured service, that produces the saving.
What actually makes an ordinary object part of the Internet of Things?
Three additions. A sensor, so that the object measures something about itself or its surroundings; a network connection with its own address, so that the reading can travel; and enough embedded processing to act on an instruction. A bulb that is switched by a wall switch is not part of the Internet of Things; the same bulb with a chip, a radio and an address, which reports its state and dims itself when the room is empty, is.
Is blockchain the same thing as cryptocurrency?
No. Blockchain is the underlying record keeping method, a distributed ledger whose blocks are chained by cryptographic hashes so that old entries cannot be altered without detection. A cryptocurrency is only one application of it, the first and best known. The same technology is now used for land records, educational certificates, medical records and tracking goods through a supply chain, where the value lies in an audit trail that no single party can rewrite.
Sources
- National Strategy for Artificial Intelligence, Discussion Paper — NITI Aayog
- The NIST Definition of Cloud Computing, Special Publication 800-145 — National Institute of Standards and Technology
- GI Cloud (MeghRaj) Initiative — Ministry of Electronics and Information Technology





