Providing the definitive compilation of 25 meticulously crafted Artificial Intelligence questions and detailed responses.
Various industries, from healthcare to finance, have been revolutionized by Artificial Intelligence (AI), which continues to influence the future of technology. As AI evolves rapidly, it is crucial to have a thorough comprehension of its fundamental concepts and principles. To assist you in navigating this dynamic environment, we have compiled a list of the top 25 AI-related queries and answers. These questions encompass a vast array of AI-related topics, from the basics of machine learning and neural networks to the ethical implications of AI. Whether you’re a beginner looking to grasp the basics or an AI enthusiast pursuing deeper insights, this compilation will be a valuable resource for enhancing your knowledge of artificial intelligence.
So, let’s get started with the best 25 Artificial Intelligence Questions & Answers
Q1. Which of the following is not currently part of the understanding of a cognitive building?
a. learns and reasons data from humans
b. can change building temperatures subject to human preferences
c. tracks humans and their activities
d. allows interaction via text messages and voice chatting
Q2. In the CNH case which of the following did the lot system not perform:
a. monitor vehicle condition.
b. monitor the external environment around vehicles.
c. alert owners to sales and options to purchase new equipment.
d. alert owners to needs and timing of preventative maintenance.
Q3. Which company is not currently marketing a driverless car?
Q4. Which type of building includes predictive control down to the desk level?
a. automated buildings
b. smart buildings
c. cognitive buildings
d. none of these
Q5. Using an IOT system, this company autonomously schedules a valet to pick up its product when a repair is needed.
c. Johnny Walker
Q6. Which of the following is not an example of an IOT platform and enablement horizontals)?
Q7. When examining the process of the IOT, which step is not required prior to action?
a. collection of data from sensors
b. data analysis, mining and processing
d. market research
Q8. There may be between 20 to 50 billion things connected to the Internet by 2020-2025.
Q9. Which of the following is not a characteristic of smart sensors?
a. senses the environment and processes the input internally
b. processing is preprogrammed
c. results are held internally within the unit
d. are viewed as a critical component of the future loT
Q10. Which of the following is not an area for potential Al enhancement of IOT in the future?In this part of loT, data are turned into meaningful information.
c. software backend
Q11. Which of the following is not an area for potential Al enhancement of IOT in the future?
b. creation of devices
c. shaping of symbiotic pairings
d. defining business models
Q12. The loT can provide better knowledge for customers to improve:
a. personalized services.
c. A and B
d. none of these
Q13. More sophisticated loT applications require a control system and a business model in addition to objects and devices.
Q14. Which of the following is not an example of an IOT application (vertical)?
Q15. In relationship to the tracking of activities, a major benefit of the IOT is that it offers the potential for:
a. quick and inexpensive tracking of activities.
b. quick but expensive tracking of activities.
c. slow but inexpensive tracking of activities.
d. slow and expensive tracking of activities.
Q16. Which of the following is not true about RFID?
a.uses of radio-frequency waves to identify objects
b. are viewed as a method to improve company supply chains
c. consist only of the tag and integrator and computer program
d. most currently used are passive
Q17. Which of the following is not an example of a wireless system in the Internet ecosystem?
a. wireless laptop
b. cable DSL modem
c. vehicle sensor
d. wireless access point
Q18. loT can provide more accurate information about specific customers buying decisions. For example, lot can identify customer expectations and direct customers to specific brands. In relationship to how loT can drive marketing opportunities this is referred to as:
a. disruptive data collection.
b. real-time personalization.
c. environmental attribution.
d. complete conversation path.
Q19. loT can collect information on vehicle use to predict potential nonroutine maintenance needed.
Q20. Which of the following is not a part of Google’s nest applications?
a. learning thermostat
b. smoke detectors
c. robotic vacuums
d. security system
Q21. In the opening case, it was identified that CNH’s primary interest in loT was to collect equipment usage information for future product development.
Q22. Which of the following is not a component of a typical smart home?
a. energy management
b. motion sensors
c. fire detectors
Q23. The definition of lot is changing and evolving over time.
Q24. Which of the following is not a major implementation issue of loT based on McKinsey’s Global Institute?
a. organizational alignment
b. interoperability challenges
c. long-term value
Q25. Which of the following is not an implementation issue with autonomous vehicles?
a.cost of real-time 3D mapping technologies
b. lack of potential long-term benefits
c. insurance company acceptance
d. capabilities of Al software