Artificial Intelligence (AI) Online Test

1. Which AI application involves using algorithms to analyze financial data, market trends, and historical patterns to forecast future performance and optimize investment decisions?

2. Which aspect of AI systems can pose a limitation due to the potential for bias in training data or algorithms?

3. Which cloud AI service offers Language Understanding (LUIS), a service for building natural language understanding into applications using machine learning?

4. Which limitation of AI is related to the challenge of ensuring that AI systems' behavior aligns with ethical and societal norms?

5. What term refers to the integration of AI and robotics technologies to develop intelligent machines capable of performing tasks autonomously or semi-autonomously?

6. Which programming language is often used for developing deep learning models with the MXNet framework?

7. Which limitation of AI is related to the challenge of ensuring that AI systems' decisions are aligned with human values and preferences?

8. Which programming language is commonly used for developing deep learning models with the Deeplearning4j framework?

9. Which factor contributes to the limitation of AI models in handling unexpected or novel situations?

10. Which AI application involves using algorithms to analyze patient data, medical records, and clinical outcomes to improve healthcare delivery, patient outcomes, and population health management?

11. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems' decisions are transparent and explainable?

12. Which limitation of AI is related to the challenge of ensuring transparency and fairness in AI-driven decision-making, particularly in critical domains such as healthcare or criminal justice?

13. Which cloud AI service provides Dialogflow, a conversational AI platform for building virtual agents and chatbots that can interact with users in natural language?

14. Which Artificial Intelligence technique is commonly used in fraud detection to assign fraud scores to transactions based on their likelihood of being fraudulent?

15. In algorithmic trading, which AI-based technique involves analyzing financial news, social media sentiment, and other textual data to gauge market sentiment?

16. Which approach characterizes effective AI-enabled human capabilities?

17. Which Python library provides high-level neural network APIs for building and training GANs?

18. What is one advantage of using PyTorch for deep learning development?

19. In industrial automation, which AI-based approach focuses on improving product quality by analyzing and adjusting manufacturing processes in real-time?

20. What is one advantage of using Theano for deep learning development?

21. What challenge arises from the need to address ethical considerations and societal impacts in the development and deployment of AI technologies?

22. What feature of Python makes it well-suited for developing GANs?

23. Which Artificial Intelligence technique is commonly used in personalized medicine to predict individual patient risks for developing certain diseases or adverse outcomes?

24. Which type of processing unit is commonly used for inference tasks in deep learning applications?

25. What term refers to the use of AI techniques to analyze and interpret visual data, enabling machines to perceive and understand the visual world?

26. Which evaluation metric is commonly used to measure the accuracy of instance segmentation models?

27. Which technique is commonly used for representing and encoding facial features in face recognition systems?

28. What term refers to the use of AI techniques to optimize manufacturing processes, improve product quality, and increase operational efficiency in industrial environments?

29. In a GAN framework, what is the role of the generator?

30. Which Artificial Intelligence application in fraud detection focuses on verifying the identity of individuals through biometric data or authentication mechanisms?