Which of the following is NOT a characteristic of AI?
Question 4
4.
What is the primary goal of AI?
Question 5
5.
Which programming language is commonly used for AI development?
Question 6
6.
What is Machine Learning?
Question 7
7.
In supervised learning, what do we provide to the model during training? C)
Question 8
8.
Which algorithm is commonly used for classification in supervised learning?
Question 9
9.
What type of learning does a recommendation system use to suggest products or content?
Question 10
10.
What is the primary challenge in unsupervised learning?
Question 11
11.
What is a neural network?
What is the term for training a deep learning model on multiple GPUs or distributed systems? A) Multi-threading B) Data augmentation C) Transfer learning D) Distributed training (Answer: D)
What is the vanishing gradient problem in deep learning? A) When the gradients become too large and cause instability B) When the model converges too quickly C) When the gradients become too small during training D) When the learning rate is too high (Answer: C)
Question 12
12.
Which deep learning architecture is used for sequential data processing, such as natural language?
Question 13
13.
What is the purpose of an activation function in a neural network?
Question 14
14.
What is the term for training a deep learning model on multiple GPUs or distributed systems?
Question 15
15.
What is the vanishing gradient problem in deep learning?
Question 16
16.
What is the primary goal of Natural Language Processing (NLP)?
Question 17
17.
Which NLP technique is used to convert words into numerical vectors?
Question 18
18.
Which NLP application involves a computer generating human-like text?
Question 19
19.
What is the term for the process of breaking down a sentence into its grammatical components?
Question 20
20.
Which of the following is NOT a challenge in NLP?
Question 21
21.
Which AI technique is used to find the optimal solution for a problem by exploring all possible solutions?
Question 22
22.
What is the primary advantage of using ensemble learning methods like Random Forest? A)
Question 23
23.
In natural language processing, what is an N-gram?
Question 24
24.
Which AI technique is often used for making recommendations, such as suggesting products on an e-commerce website?
Question 25
25.
What does CNN stand for in the context of deep learning?
Question 26
26.
Which industry commonly uses AI for predictive maintenance of equipment and machinery?
Question 27
27.
What is the primary goal of AI-powered chatbots in customer service?
Question 28
28.
Which AI technique is used for detecting and preventing fraudulent activities in financial transactions?
Question 29
29.
What is the main benefit of using AI in healthcare diagnostics?
Question 30
30.
How can AI be applied in the field of autonomous vehicles?
Question 31
31.
What is AI bias?
Question 32
32.
What is the term for the unintended consequences that may arise from AI decision-making?
Question 33
33.
What is the "singularity" in the context of AI?
Question 34
34.
What is explainable AI (XAI) designed to address?
Question 35
35.
What are the ethical concerns associated with the use of AI in surveillance?
Question 36
36.
What is the term for AI systems that can improve their performance on a task without being explicitly programmed?
Question 37
37.
Which industry often uses AI-driven recommendation systems to personalize content for users?
Question 38
38.
What is the primary goal of AI in supply chain management?
Question 39
39.
How can AI be applied in the field of finance and trading?
Question 40
40.
Which AI technique is used to improve the accuracy of credit scoring models in the banking sector?
Question 41
41.
What is telemedicine, and how can AI enhance it?
Question 42
42.
Which AI application assists radiologists in detecting anomalies in medical images?
Question 43
43.
How can AI be used for drug discovery in the pharmaceutical industry?
Question 44
44.
What is the primary benefit of AI-powered robotic surgery?
Question 45
45.
In healthcare, what is the term for the process of predicting patient outcomes and identifying at-risk individuals?
Question 46
46.
What is quantum computing, and how does it relate to AI?
Question 47
47.
How does AI contribute to the development of autonomous drones and vehicles?
Question 48
48.
What is the term for AI systems that can understand, interpret, and generate human-like text and speech?
Question 49
49.
What is the potential impact of AI on job markets?
Question 50
50.
How can AI be used to address environmental challenges, such as climate change?