FREE Bachelor of Science in Computer Science: Artificial Intelligence Fundamentals Questions and Answers

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Which division of machine learning draws inspiration from the intricate network of neurons in the human brain?

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Deep learning is the subset of machine learning that draws inspiration from the complex interconnections among neurons in the human brain. It involves the creation of artificial neural networks consisting of multiple layers of mathematical probability. These networks are designed to mimic the way our brain processes information, enabling tasks such as speech recognition and language understanding.

In the realm of AI, what does the rational agent approach primarily emphasize?

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The rational agent approach focuses on designing agents that act to achieve the best outcome, or the best expected outcome under uncertainty.

When incorporating AI algorithms, what ethical hazard should one be vigilant about?

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AI algorithms may inadvertently learn and perpetuate biases present in the training data, leading to biased decision-making if not addressed.

Which academic fields contribute to the fundamental basis of Artificial Intelligence?

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AI's foundation draws from various disciplines such as mathematics, computer engineering, and neuroscience to build the necessary knowledge and tools for AI development.

When working with AI algorithms that learn from data examples, what is the central consideration?

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The quality and preparation of data are crucial for AI algorithms to learn accurately and produce reliable results.

What sets machine learning apart from conventional computer programs?

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Traditional programs follow predefined rules, while machine learning learns patterns and behaviors from actual data.

What does the term "Artificial Intelligence" encompass?

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Artificial Intelligence is the field concerned with creating machines that can perform tasks requiring intelligence when performed by humans.

What category of AI aims to excel across a variety of domains and activities?

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AGI, also known as General AI, refers to AI that possesses expertise in numerous domains, although it is not yet practically viable.

What AI technique is frequently employed by Narrow AI to improve its efficiency?

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Machine learning is a key technique utilized by Narrow AI to improve its capabilities by learning from data examples.

In the context of AI, what is the meaning of the term "agent"?

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An agent is an entity capable of perceiving its environment and taking actions to achieve goals.

Which field of technology seizes the public's imagination the strongest owing to its limitless potentials?

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Artificial Intelligence (AI) sparks curiosity and imagination due to its potential to revolutionize various aspects of technology and human life.

Within the domain of artificial intelligence, what is encompassed by the term "sentiment analysis"?

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Sentiment analysis assesses the emotional sentiment expressed in written content, aiding applications like customer support and marketing.

In the context of AI, what is the main emphasis of Cognitive Science?

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Cognitive Science combines AI models and psychological experiments to construct testable theories of human cognition.

The realm of AI that is devoted to comprehending and interacting with natural language is referred to as Natural Language Processing (NLP).

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Natural Language Processing (NLP) involves using AI to comprehend and interact with human language, enabling technologies like voice assistants and sentiment analysis.

Which test was proposed by Alan Turing to evaluate machine intelligence?

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The Turing Test, also known as the Imitation Game, is a test proposed by Alan Turing to determine if a machine can exhibit intelligent behavior indistinguishable from that of a human.

What is the segment of AI that is centered on a specific and strong application?

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Specific AI, also known as Narrow AI, focuses on excelling in a specific task or domain, contrasting with the broader capabilities of AGI.

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