Question

Whose name has been replaced with ``[1]'' in the passage above?

• A. Alan Turing
• B. Peter Hilton
• C. Albert Einstein
• D. Kurt Gödel
• A. Deep Mind
• B. Deep Blue
• C. Watson
• D. Blue Gene
• A. Donna Strickland
• B. Max Tegmark
• C. Peter Higgs
• D. Roger Penrose
• A. Neural network
• B. Cognitive computing
• C. Natural language processing
• D. Data mining
• A. Landing Macro Data Applications
• B. Language Model for Dialogue Applications
• C. Large Model Data Applications
• D. Last Mile Dialogue Assessment
• A. FTP
• B. OPT
• C. HTTP
• D. SMTP
• A. SURAM
• B. GPT-3
• C. SUPACE
• D. E-Courts

Answer 1

The Correct Option is A

Step 1 (Locate the clue in the text).
The passage says a mathematician in Mind (1950) proposed a test to determine whether a machine can exhibit intelligent behaviour by imitation.
Step 2 (Recall the historical fact).
In 1950, Alan Turing published ``Computing Machinery and Intelligence'' in Mind, introducing the Imitation Game—now called the Turing Test.
Step 3 (Eliminate distractors).
Peter Hilton was a British mathematician but not associated with this test; Einstein (physicist) and Gödel (logician) did not publish such a test in Mind in 1950.
\[ \boxed{\text{(A) Alan Turing}} \]

Answer 2

The passage says that in 1950, in the journal Mind, a mathematician proposed a test based on imitating human cognitive functions to judge whether a machine could show intelligent behaviour. We need to match this description to one of the four names.

1. Alan Turing: In 1950, Turing published a paper called "Computing Machinery and Intelligence" in the journal Mind. In it, he proposed the "imitation game", a way of judging machine intelligence by seeing whether a human questioner could tell a machine's answers apart from a human's. This is exactly what the passage describes, right down to the journal name and the year.
2. Peter Hilton: Hilton was a British mathematician known for his work in algebraic topology and homological algebra. He has no connection to the 1950 imitation test described here.
3. Albert Einstein: Einstein was a physicist, not a mathematician working on computing, and his major contributions were in relativity and quantum theory, decades before machine intelligence became a subject of study.
4. Kurt Gödel: Gödel is remembered for his incompleteness theorems in mathematical logic. His work concerns the limits of formal systems, not a test for judging whether a machine behaves intelligently.

Only Turing's 1950 paper in Mind matches the passage's description of a test built around imitating human cognitive functions.

Therefore, the correct answer is Alan Turing.

Answer 3

Step 1 (Recall the 1997 match).
IBM’s Deep Blue defeated Kasparov in a six-game match (May 1997).
Step 2 (Eliminate similar-sounding distractors).
DeepMind (with a capital M) is the London AI lab (AlphaGo etc.), not the 1997 supercomputer. Watson is IBM’s QA system that won Jeopardy! (2011). Blue Gene is an IBM supercomputer line for scientific computing, unrelated to the Kasparov match.
\[ \boxed{\text{(B) Deep Blue}} \]

Answer 4

The question refers to the 1997 chess match in which reigning world champion Garry Kasparov was defeated by a computer. We need to identify which of the four systems that computer was.

1. Deep Mind: DeepMind is a London based artificial intelligence company, known later for programs like AlphaGo. It was founded in 2010, well after the 1997 chess match, so it cannot be the system involved.
2. Deep Blue: Deep Blue was a chess playing computer built by IBM. It played a six game match against Kasparov in May 1997 and won, becoming the first computer system to beat a reigning world chess champion under standard tournament conditions.
3. Watson: Watson is IBM's question answering system, best known for winning the quiz show Jeopardy! in 2011. It was built for natural language question answering, not chess, and came out years after the Kasparov match.
4. Blue Gene: Blue Gene is a line of IBM supercomputers designed for large scale scientific computing, such as protein folding simulations. It shares the "Blue" name with Deep Blue but is a separate, later project.

Only Deep Blue was operating in 1997 and specifically built to play, and win, a match against Kasparov.

Therefore, the correct answer is Deep Blue.

Answer 5

Step 1 (Identify the author).
The Emperor’s New Mind is by Sir Roger Penrose. Step 2 (Nobel 2020).
Penrose shared the 2020 Nobel Prize in Physics for work on black hole formation. Step 3 (Eliminate).
Donna Strickland (Nobel 2018, laser physics), Max Tegmark (cosmologist; no Nobel), Peter Higgs (Nobel 2013, Higgs boson).
\[ \boxed{\text{(D) Roger Penrose}} \]

Answer 6

The question asks which British mathematician wrote The Emperor's New Mind in 1989 and later won the Nobel Prize in Physics in 2020. Let's check each option against these two facts together.

1. Donna Strickland: Strickland is a physicist who won the Nobel Prize in Physics, but in 2018, for her work on high intensity laser pulses. She did not write The Emperor's New Mind and the year does not match.
2. Max Tegmark: Tegmark is a well known cosmologist and author of popular science books on physics and consciousness, but he has not won a Nobel Prize and is not the author of The Emperor's New Mind.
3. Peter Higgs: Higgs won the Nobel Prize in Physics in 2013 for predicting the Higgs boson, along with Francois Englert. That year does not match 2020, and he did not write this book.
4. Roger Penrose: Penrose is a British mathematician and physicist who wrote The Emperor's New Mind in 1989, exploring ideas about computation, minds, and physics. He shared the Nobel Prize in Physics in 2020 for showing that black hole formation is a robust prediction of general relativity.

Only Penrose satisfies both parts of the clue: authorship of the book and the 2020 Nobel Prize.

Therefore, the correct answer is Roger Penrose.

Answer 7

Step 1 (Definition).
Artificial Neural Networks (ANNs) are computational models inspired by networks of biological neurons, where weighted connections transmit activations.
Step 2 (Eliminate).
Cognitive computing is a broader paradigm; NLP is an application field; data mining is a process of discovering patterns. None of these specifically model neuron-style signal exchange like ANNs.
\[ \boxed{\text{(A) Neural network}} \]

Answer 8

The question asks which computing model is built to resemble how biological neurons pass signals to each other in the brain. Let's weigh each option against that description.

1. Neural network: An artificial neural network is made of layers of interconnected nodes, often called artificial neurons, joined by weighted connections. Signals pass from one layer to the next and get combined and adjusted, much like electrical and chemical signals pass between real neurons through synapses. This is a direct, structural imitation of brain wiring.
2. Cognitive computing: Cognitive computing describes a broad family of systems that try to mimic human thought processes, such as reasoning and learning from data. It is a general goal or approach, not a specific model built around neuron like connections.
3. Natural language processing: NLP is a field concerned with getting computers to understand and generate human language. It is defined by the task it performs, not by any resemblance to how neurons exchange signals.
4. Data mining: Data mining is the process of finding patterns in large sets of data using statistical and computational techniques. It is a data analysis method, not a model of how the brain's cells communicate.

Only the neural network is defined by its structural resemblance to biological neurons and how they exchange signals.

Therefore, the correct answer is Neural network.

Answer 9

Step 1 (Recall Google’s expansion).
LaMDA = Language Model for Dialogue Applications, Google’s family of conversational LMs.
Step 2 (Eliminate pattern traps).
(A), (C), (D) sound plausible by acronym-shape but are not the official name.
\[ \boxed{\text{(B) Language Model for Dialogue Applications}} \]

Answer 10

The question asks for the full form of the acronym LaMDA, the AI system mentioned in the passage. Each option is built to sound plausible, so we need to check which one is the actual official name.

1. Landing Macro Data Applications: This phrase does not correspond to any recognised term in AI or computing, and none of its words connect meaningfully with what LaMDA is built to do, which is hold conversations.
2. Language Model for Dialogue Applications: This is Google's official expansion of the name. LaMDA is a family of language models trained specifically to power open ended, natural sounding conversations, which is exactly what "dialogue applications" describes.
3. Large Model Data Applications: This phrase copies the general shape of AI terminology, using words like "large" and "model" that are common in the field, but it is not the real expansion and does not appear in Google's own description of the system.
4. Last Mile Dialogue Assessment: This includes the word "dialogue", which is a genuine part of LaMDA's purpose, but "last mile" and "assessment" have nothing to do with what the acronym actually stands for.

Only "Language Model for Dialogue Applications" is the real, official expansion of LaMDA, matching both the letters of the acronym and its actual purpose as a conversational AI.

Therefore, the correct answer is Language Model for Dialogue Applications.

Answer 11

Step 1 (Identify the model).
Meta released OPT — Open Pretrained Transformer — as a publicly available LLM family.
Step 2 (Eliminate protocol distractors).
FTP, HTTP, SMTP are internet protocols (file transfer, web, mail) — not LLM names.
\[ \boxed{\text{(B) OPT}} \]

Answer 12

The question asks for the name of Meta's fully trained, large language AI model that was made publicly available. We should check whether each option is actually an AI model or something else entirely.

1. FTP: FTP stands for File Transfer Protocol, a long standing internet standard used to move files between computers over a network. It has nothing to do with language models.
2. OPT: OPT stands for Open Pretrained Transformer, a family of large language models that Meta released, along with their weights and code, so that researchers outside the company could study and use them. This matches the description of a fully trained, released AI model.
3. HTTP: HTTP stands for Hypertext Transfer Protocol, the basic protocol that web browsers use to load pages. It is a communication standard, not an AI model.
4. SMTP: SMTP stands for Simple Mail Transfer Protocol, used for sending email between servers. Like the other protocol options, it is unrelated to language models.

FTP, HTTP, and SMTP are all internet protocols with well established, unrelated purposes, while OPT is the actual large language model Meta released.

Therefore, the correct answer is OPT.

Answer 13

Step 1 (Recall the initiative).
The Supreme Court launched SUPACE — Supreme Court Portal for Assistance in Court’s Efficiency — to assist judges with AI-enabled legal research and document analysis.
Step 2 (Eliminate).
SURAM is unrelated; GPT-3 is OpenAI’s model (not a SC tool); E-Courts is a broader e-governance project for court digitization, not specifically the AI legal assistant launched in April 2021.
\[ \boxed{\text{(C) SUPACE}} \]

Answer 14

The question asks for the name of the AI enabled legal research tool that the Supreme Court of India launched in April 2021. Let's check each option against this description.

1. SURAM: This is not a recognised tool or project associated with the Indian judiciary, and it does not match any known AI initiative from the Supreme Court.
2. GPT-3: GPT-3 is a large language model developed by OpenAI, an American AI research company. It is not an Indian judicial initiative and was not launched by the Supreme Court of India.
3. SUPACE: SUPACE stands for Supreme Court Portal for Assistance in Court's Efficiency. It was launched in April 2021 as an AI powered tool to help judges with legal research, going through case files and relevant precedents faster, without taking over any decision making role.
4. E-Courts: E-Courts is a much broader, older mission mode project aimed at digitising India's court system as a whole, covering case management and digital records. It is not the specific AI research assistant referred to here.

Only SUPACE matches both the description of an AI enabled legal research tool and the April 2021 launch date by the Supreme Court of India.

Therefore, the correct answer is SUPACE.