Ace Your AI Exam with These Top Viva Questions for Artificial Intelligence
Are you struggling to prepare for your AI exam? Are you worried about how to answer viva questions related to Artificial Intelligence? Artificial Intelligence (AI) is an ever-growing field that has revolutionized the way we operate today. The vastness of the topic ensures that students need to be well-versed in the subject and be able to answer questions effectively. In this blog, we bring to you the top viva questions for AI that will help you prepare for your exam and ace it with ease.
What is the Main Definition of Artificial Intelligence?
Artificial Intelligence is the simulation of human intelligence in machines that are programmed to think and learn like humans. It is a broad field that utilizes machine learning, natural language processing, neural networks, robotics, and other techniques to enable computers to perform tasks that usually require human intelligence, such as image recognition, speech recognition, and decision-making.
What are the Types of AI?
There are mainly three types of AI – narrow or weak AI, General AI, and Super AI.
The narrow or weak AI is designed to perform a specific task, such as speech recognition, image captioning, and language translation. It lacks the ability to think beyond the specific task assigned to it.
General AI can tackle various tasks, just like humans, and think beyond a single task. It has a general understanding of a wide range of topics.
Super AI is a hypothetical type of intelligence that surpasses human intellect in all aspects.
What is Machine Learning?
Machine learning is a technique that enables computers to learn from data to improve the performance of a specific task. It includes supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning is a type of machine learning that involves learning from labeled data. It involves the computer receiving inputs and corresponding outputs for each input and learning to predict the output for new inputs.
Unsupervised learning is a type of machine learning that involves finding hidden patterns or data structures in unlabeled data.
Reinforcement learning involves training an agent to learn how to make decisions based on feedback received by interacting with the environment.
What is Deep Learning?
Deep learning is a subset of machine learning that involves the use of neural networks with multiple layers to learn features that are essential for classification or prediction. It is used in a wide range of applications, such as image recognition, natural language processing, and speech recognition.
How is Artificial Intelligence used in Real-Life Applications?
AI is used in various real-life applications, such as healthcare, finance, transportation, and security. In healthcare, AI is used for disease diagnosis, drug development, and personalized medicine. In finance, AI is used for fraud prevention, credit scoring, and investment predictions. In transportation, AI is used in self-driving cars and traffic management.
Conclusion
In conclusion, Artificial Intelligence is a vast and exciting field that has numerous applications in various industries. Mastery over the subject requires a thorough understanding of the core concepts and their applications. Studying the top viva questions mentioned in this blog can undoubtedly help you prepare better for your AI exam.
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