Robotics & Artificial Intelligence
Assertion (A): Data refers to raw facts that are generated by almost all daily activities, including reading, writing, speaking, and seeing.
Reason (R): The raw data is transformed into meaningful information after processing, which helps in decision making.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Role of Data & Information
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Answer
Both (A) and (R) are true and (R) is a correct explanation of (A).
Reason — Data is defined as raw or unprocessed facts generated through daily activities such as reading, writing, speaking, and seeing. These raw facts by themselves may not have meaning. When data is processed and organised, it becomes information, which is meaningful and useful for decision making. Hence, the reason correctly explains the assertion.
Answered By
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Related Questions
Assertion (A): The Turing test is used to evaluate whether a machine can exhibit human-like intelligence through conversation.
Reason (R): The Turing test involves an evaluator having a conversation with both a human and a machine, and if the evaluator cannot differentiate between the two, the machine is considered to have passed the test.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): Bias, prejudice, fairness, accountability, and transparency are key ethical issues in AI.
Reason (R): Ethics in AI deals only with technical issues related to the performance and functionality of AI systems.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): Data plays a crucial role in the development and operation of AI as it allows AI algorithms to learn and make predictions.
Reason (R): The performance and accuracy of AI models are not affected by the quantity, quality, or relevance of the data used.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.
Assertion (A): Deterministic computing refers to a computing system where the output and behaviour are completely determined by the input and predefined rules.
Reason (R): In deterministic computing, randomness and flexibility are allowed to adapt to new or changing data.
- Both (A) and (R) are true and (R) is a correct explanation of (A).
- Both (A) and (R) are true and (R) is not a correct explanation of (A).
- (A) is true and (R) is false.
- (A) is false and (R) is true.