Top 10 Viva Questions for Artificial Intelligence: Must-Ask Queries for AI Students
Introduction
Artificial Intelligence (AI) is a rapidly growing field that is changing the way we live and work. AI technologies like machine learning and deep learning are making groundbreaking contributions in numerous industries, from healthcare to finance.
As an AI student, you know the importance of staying up-to-date with the latest knowledge and advancements in the field. In this article, we will go through the top 10 viva questions that are must-ask queries for AI students.
1. What is Artificial Intelligence?
Artificial Intelligence is the science of creating intelligent machines that can perform tasks with human-like intelligence. In simpler terms, it is the ability of machines to mimic human abilities, such as perception, reasoning, and decision-making.
2. What are the different types of AI?
There are mainly three types of AI:
* Artificial Narrow Intelligence: It is also known as weak AI, and it is designed to perform specific tasks, such as playing chess or facial recognition.
* Artificial General Intelligence: It is also known as strong AI and can generalize and perform any intellectual task that a human can do.
* Artificial Super Intelligence: It is theoretical AI that can surpass human intelligence and can perform any intellectual task with ease.
3. What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence that allows machines to learn from data without being explicitly programmed. In essence, it teaches a machine to learn from examples.
4. What are the different types of Machine Learning?
There are mainly three types of Machine Learning:
* Supervised Learning: It is a kind of Machine Learning where a machine learns from labeled data, i.e., the machine is trained on a dataset that is already labeled to predict the output for new data.
* Unsupervised Learning: It is a kind of Machine Learning in which the model is trained on unlabeled data to discover patterns and relationships within the data.
* Reinforcement Learning: It is a kind of Machine Learning where the machine learns by taking actions in an environment and getting feedback in the form of rewards or penalties.
5. What is Deep Learning?
Deep Learning is a subset of Machine Learning that uses artificial neural networks to mimic the working of the human brain. It is designed to solve more complex problems and can learn from unstructured data.
6. What is Natural Language Processing?
Natural Language Processing (NLP) is a branch of AI that deals with the interaction between computers and humans using natural language. It helps machines understand, interpret, and manipulate human language.
7. What are the applications of AI?
AI has numerous applications in various fields, including healthcare, finance, education, transportation, and entertainment. AI is used for image and speech recognition, fraud detection, personalized recommendation, and autonomous vehicles, to name a few.
8. What are the ethical concerns surrounding AI?
Some ethical concerns surrounding AI include bias, privacy issues, potential job displacement, and the possibility of AI being used to create autonomous weapons.
9. What are some real-world examples of AI?
Some real-world examples of AI include virtual assistants like Siri and Alexa, self-driving cars, and fraud detection systems used by banks and financial institutions.
10. What is the future of AI?
The future of AI is promising. It is expected to transform various industries and create new job opportunities in the field. However, there is also concern about the impact of AI on the workforce and the need for regulation to ensure ethical and responsible use of AI technologies.
Conclusion
AI is a fascinating field with endless possibilities. As an AI student, being knowledgeable about the latest advancements and trends in the field can give you a competitive advantage. By understanding the top 10 viva questions mentioned above, you will be well-equipped to tackle any questions that come your way during your viva. Remember to stay curious and continue to learn as much as you can about this exciting field.
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