Computer Knowledge
Artificial Intelligence Applications
3,387 Questions
Artificial intelligence applications cover the practical uses of machine learning, deep learning, and data mining across various industries. Questions explore how these algorithms contribute to fields like cybersecurity, medicine, and automation. Mastering these concepts is vital for computer knowledge sections in banking and government exams.
Machine learning algorithmsDeep learning modelsImage processing techniquesData mining metricsAI in personalized medicineAutonomous robot software
Artificial Intelligence Applications Questions
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Computational Intelligence
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Artificial Intelligence
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Expert Systems
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Super Computing
A
Correct answer
Explanation
Computational intelligence is a branch of AI that focuses on learning and adaptive systems, often inspired by biological processes, to mimic human cognitive abilities. It is distinct from symbolic AI.
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Parallel processing
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Brute force searching
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Boolean logic
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Heuristics
B
Correct answer
Explanation
Brute force searching involves systematically checking every possible candidate for the solution. While exhaustive, it is often computationally expensive compared to heuristic approaches.
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Bots
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Tester
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Programmer
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Junior Tester
A
Correct answer
Explanation
In an RPA environment, the software robots (bots) are the entities that perform the automated tasks, not the human testers or programmers.
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Louis
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Watson
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Rhodey
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Janet
B
Correct answer
Explanation
IBM Watson is a well-known advanced AI system capable of natural language processing and complex data analysis.
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Reactive Machines, Limited Memory
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Drones, Smart Fridge
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Small robots, Big robots
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Animal Intelligence, Wilderness Inteligence
A
Correct answer
Explanation
The four types of AI as defined by Arend Hintze are Reactive Machines, Limited Memory, Theory of Mind, and Self-Awareness.
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Machine Learning
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3D printing
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Speech and language processing
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Image recognition and machine vision
B
Correct answer
Explanation
3D printing is a manufacturing technology used to create physical objects from digital models; it is not a core component of artificial intelligence.
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ANI (Artificial Narrow Intelligence)
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API (Artificial Psychological Intelligence)
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AGI (Artificial General Intelligence)
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ASI (Artificial Superintelligence)
B
Correct answer
Explanation
The standard classifications for AI are ANI, AGI, and ASI. API stands for Application Programming Interface, not a type of AI.
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youtube
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mouse
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keyboard
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robots
D
Correct answer
Explanation
Robots are a common physical manifestation of AI systems, especially when they are programmed to perform tasks autonomously.
A
Correct answer
Explanation
Siri is a virtual assistant that uses natural language processing and machine learning to understand and respond to user queries, making it an AI.
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AI is the science and engineering of intelligent computer programs
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AI is a human
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AI is a machine
A
Correct answer
Explanation
Artificial Intelligence is broadly defined as the field of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence.
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Fake Understanding
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Network Comprehension
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Machine Learning
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Feigned Observation
C
Correct answer
Explanation
Machine learning is a subset of AI that allows systems to learn from data and improve their performance over time without being explicitly programmed.
A
Correct answer
Explanation
AI ethics is a growing field focused on ensuring that AI systems are developed and deployed in ways that are fair, transparent, and accountable.
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A simulation of human intelligence processes by machine
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A field of psychology
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A web based platform for learningcourse
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Non digitalized approach that mimic human intelligence
A
Correct answer
Explanation
AI is defined as the simulation of human intelligence processes by computer systems, including learning, reasoning, and self-correction.
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1950’s & 70’s - Minsky’s book on “Perceptrons”
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1980 - commercial translators available
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1943 - first AI work by McCulloch & Pitts
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1986 - rediscovery of solutions leads to massive growth
A
Correct answer
Explanation
Minsky's book 'Perceptrons' was published in 1969, not the 1950s or 70s as a general range. The other dates are historically accurate milestones in AI history.
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data mining for medical diagnosis
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fuzzy logic for automatic cars
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intelligent agent for dictionary inquiries
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neural nets for brain surgery
D
Correct answer
Explanation
While AI is used in many medical fields, 'neural nets for brain surgery' is not a standard or widely accepted application category in the same way as the others, which are established AI research domains.