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AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Timed

20 questions · 10 min timer · Instant feedback

Artificial intelligence, data, and emerging technologies are transforming the way we live, work, and communicate. From smart assistants and self-driving cars to data-driven decisio...

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All 20 questions in this AI, Data & Emerging Tech quiz

Which hardware component is preferred for training deep learning models because of its ability to perform many small calculations simultaneously?
- A. CPU (Central Processing Unit)
- B. GPU (Graphics Processing Unit)
- C. RAM (Random Access Memory)
- D. HDD (Hard Disk Drive)
Which technique involves taking a model pre-trained on a large dataset and adapting it to a smaller, more specific task?
- A. Transfer Learning
- B. Recursive Learning
- C. Active Learning
- D. Cold Start
What is 'Encryption'?
- A. Deleting files
- B. Printing data
- C. Searching data
- D. Converting data into code
What is the 'Simulated Annealing' algorithm used for?
- A. Cooling down a computer's CPU
- B. Finding an approximate global optimum of a given function
- C. Generating realistic weather in video games
- D. Simulating the melting of metals
In the context of the Internet of Things (IoT), what is a 'Smart City'?
- A. A city where everyone has a high IQ
- B. An urban area that uses sensors and data to manage assets and resources efficiently
- C. A city built entirely by robots
- D. A city that only uses digital currency
Which company developed ChatGPT?
- A. OpenAI
- B. Microsoft
- C. Google
- D. Meta
Which company developed 'TensorFlow'?
- A. Amazon
- B. Meta
- C. Microsoft
- D. Google
In Natural Language Processing, what is the process of breaking down a string of text into smaller units such as words or subwords?
- A. Normalization
- B. Lemmatization
- C. Tokenization
- D. Stemming
Which consensus mechanism, used by Bitcoin, requires miners to solve complex mathematical puzzles to secure the network?
- A. Proof of Stake
- B. Proof of Work
- C. Proof of Authority
- D. Proof of Space
What does 'DAO' stand for in the context of Web3 and blockchain-based organizations?
- A. Digital Automated Object
- B. Decentralized Autonomous Organization
- C. Distributed Asset Order
- D. Data Analysis Output
What is the term for a subset of machine learning that uses multi-layered neural networks to learn from vast amounts of data?
- A. Linear Regression
- B. Deep Learning
- C. Decision Trees
- D. Bayesian Networks
Which technology is used to create a decentralized, tamper-proof record of who owns a digital item?
- A. Cloud Storage
- B. NFT (Non-Fungible Token)
- C. VPN
- D. Cookies
In 2023, what AI-related term was named 'Word of the Year' by the Collins Dictionary?
- A. Metaverse
- B. AI
- C. Blockchain
- D. NFT
What is the term for the hypothetical point in time when AI growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization?
- A. The Event Horizon
- B. The Technological Singularity
- C. The Omega Point
- D. The Digital Dawn
In data science, what does the 'p-value' help determine when conducting a statistical test?
- A. The exact value of the average
- B. The probability that the observed results occurred by random chance
- C. The size of the dataset
- D. The speed at which the model was trained
What is 'Synthetic Media'?
- A. Media made from plastic
- B. Content like images, videos, and music generated or modified by AI
- C. News stories about chemical plants
- D. Media that only exists on paper
Which algorithm is used in RSA encryption?
- A. Compression
- B. Hashing
- C. Asymmetric
- D. Symmetric
What technology allows multiple people to view and interact with the same 3D digital objects in the physical world through glasses or phones?
- A. Virtual Reality (VR)
- B. Augmented Reality (AR)
- C. Mixed Reality (MR)
- D. Holographic Projection
Which term refers to the practice of 'poisoning' an AI's training data to cause it to make specific mistakes later?
- A. Adversarial Attack
- B. Backdoor Attack
- C. Data Scrubbing
- D. Prompt Injection
What technique is used in data science to provide a mathematical guarantee of privacy by adding 'noise' to datasets so that individual entries cannot be identified?
- A. Data Masking
- B. Differential Privacy
- C. Data Sharding
- D. Hashing

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Timed

Time is up! Quiz Complete!

Which hardware component is preferred for training deep learning models because of its ability to perform many small calculations simultaneously?

Which technique involves taking a model pre-trained on a large dataset and adapting it to a smaller, more specific task?

What is 'Encryption'?

What is the 'Simulated Annealing' algorithm used for?

In the context of the Internet of Things (IoT), what is a 'Smart City'?

Which company developed ChatGPT?

Which company developed 'TensorFlow'?

In Natural Language Processing, what is the process of breaking down a string of text into smaller units such as words or subwords?

Which consensus mechanism, used by Bitcoin, requires miners to solve complex mathematical puzzles to secure the network?

What does 'DAO' stand for in the context of Web3 and blockchain-based organizations?

What is the term for a subset of machine learning that uses multi-layered neural networks to learn from vast amounts of data?

Which technology is used to create a decentralized, tamper-proof record of who owns a digital item?

In 2023, what AI-related term was named 'Word of the Year' by the Collins Dictionary?

What is the term for the hypothetical point in time when AI growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization?

In data science, what does the 'p-value' help determine when conducting a statistical test?

What is 'Synthetic Media'?

Which algorithm is used in RSA encryption?

What technology allows multiple people to view and interact with the same 3D digital objects in the physical world through glasses or phones?

Which term refers to the practice of 'poisoning' an AI's training data to cause it to make specific mistakes later?

What technique is used in data science to provide a mathematical guarantee of privacy by adding 'noise' to datasets so that individual entries cannot be identified?