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#1
By TheQuizWire
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Medium
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Fact Checked
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22 Jan 2026
What is the defining characteristic of Artificial General Intelligence (AGI)?
💡 Explanation:Artificial General Intelligence (AGI), also known as Strong AI, is defined by its ability to successfully perform any intellectual task that a human being can, including learning, reasoning, and applying knowledge across diverse domains. This contrasts with Narrow AI (Weak AI), which is only capable of performing a specific, specialized task.
#2
By TheQuizWire
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Easy
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Fact Checked
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19 Jan 2026
A movie recommendation system based on user history utilizes which core AI technique?
💡 Explanation:Recommendation systems analyze patterns in user data (such as viewing history, ratings, and past purchases) to predict future preferences and suggest content. This process of learning from data to make predictions without being explicitly programmed is the definition and core function of Machine Learning (ML).
#3
By TheQuizWire
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Easy
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Fact Checked
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12 Jan 2026
What is the core goal of Artificial Intelligence (AI)?
💡 Explanation:Artificial Intelligence (AI) is a branch of computer science focused on the theory and development of computer systems that can simulate or mimic human intelligence processes, such as learning, reasoning, perception, and problem-solving. Options A, B, and D describe other aspects of computing and technology but are not the fundamental, defining goal of AI.
#4
By TheQuizWire
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Medium
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Fact Checked
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20 Dec 2025
What is the primary source of inherent bias in supervised Machine Learning models?
💡 Explanation:Algorithmic bias in supervised Machine Learning systems is primarily caused by the training data. If the data used to train the model is biased, incomplete, or unrepresentative of the target population, the model will learn and perpetuate those existing societal or statistical biases, which is a key ethical challenge in AI development.
#5
By TheQuizWire
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Medium
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Fact Checked
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09 Dec 2025
What distinguishes Deep Learning from traditional Machine Learning?
💡 Explanation:Deep Learning is a specialized sub-field of Machine Learning (ML) that is structurally defined by its use of Artificial Neural Networks (ANNs) containing multiple ('deep') hidden layers. This multi-layered architecture enables the system to learn hierarchical feature representations automatically, distinguishing it from traditional, 'shallower' ML algorithms.
#6
By TheQuizWire
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Hard
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10 Nov 2025
Which algorithm adjusts neural network weights to minimize error?
💡 Explanation:Backpropagation calculates the error gradient and adjusts weights backward through the network to train it.
#7
By TheQuizWire
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Medium
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06 Nov 2025
Most current AI systems fall into which category?
💡 Explanation:Current AI, which specializes in specific tasks, is classified as Artificial Narrow Intelligence (ANI).
#8
By TheQuizWire
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Medium
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01 Nov 2025
Which AI training method uses labeled input-output pairs?
💡 Explanation:Supervised learning relies on labeled datasets to train algorithms.
#9
By TheQuizWire
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Medium
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31 Oct 2025
Which AI subfield uses multi-layered neural networks to analyze complex data?
💡 Explanation:Deep Learning uses artificial neural networks with many layers (deep neural networks) to model complex patterns.
#10
By TheQuizWire
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Medium
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31 Oct 2025
Which IBM AI defeated world chess champion Garry Kasparov in 1997?
💡 Explanation:Deep Blue was the first computer system to defeat a reigning world chess champion under standard time controls.
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