Question 1Which of these terms best describes the type of AI used in today’s email spam filters, speech recognition, and other specific applications?1 pointArtificial Narrow Intelligence (ANI)Artificial General Intelligence (AGI)

Question 1Which of these terms best describes the type of AI used in today’s email spam filters, speech recognition, and other specific applications?1 pointArtificial General Intelligence (AGI)Artificial Narrow Intelligence (ANI)2.Question 2What do you call the commonly used AI technology for learning input (A) to output (B) mappings?1 pointUnsupervised learningReinforcement learningSupervised learningArtificial General Intelligence3.Question 3You want to use supervised learning to build a speech recognition system. The figure above suggests that in order for a neural network (deep learning) to achieve the best performance, you would ideally use: (Select all that apply)1 pointA large dataset (of audio files and the corresponding text transcript)A small dataset (of audio files and the corresponding text transcript)A large neural networkA small neural network4.Question 4The only way to acquire data for a supervised learning algorithm is to manually label it. I.e., given the input A, to ask a human to provide B.1 pointTrueFalse5.Question 5Which of these statements regarding data acquisition do you agree with?1 pointIt doesn’t matter how data is acquired. The more data, the better.Only structured data is valuable; AI cannot process unstructured data.It doesn’t help to give data to an AI team, because they can always produce whatever they need by themselves.Some types of data are more valuable than others; working with an AI team can help you figure out what data to acquire.6.Question 6You run a company that manufactures scooters. Which of the following are examples of unstructured data? (Select all that apply.)1 pointThe maximum speed of each of your scootersThe number of scooters sold per week over the past yearPictures of your scootersAudio files of the engine sound of your scooters7.Question 7Suppose you run a website that sells cat food. Which of these might be a good result from a data science project? (Select all that apply.)1 pointA slide deck presenting a plan on how to modify pricing in order to improve sales.A large dataset of images labeled as “Cat” and “Not Cat”A neural network that closely mimics how cats’ brains work.Insights into how to market cat food more effectively, depending on the breed of cat.8.Question 8Based on the terminology defined in Lesson 4 “The terminology of AI”, which of the following statements do you agree with? (Select all that apply.)1 pointThe terms “machine learning” and “data science” are used almost interchangeably.Deep learning is a type of machine learning. (I.e., all deep learning algorithms are machine learning algorithms.)AI is a type of deep learning. (I.e., All AI algorithms are deep learning algorithms.)The terms “deep learning” and “neural network” are used almost interchangeably.9.Question 9Which of these do AI companies do well?1 pointStrategic data acquisitionInvest in unified data warehousesSpot automation opportunitiesAll of the above10.Question 10Say you want to input a picture of a person’s face (A), and output whether or not they are smiling (B). Because this is a task that most humans can do in less than 1 second, supervised learning can probably learn this A-to-B mapping.1 pointTrueFalse

Q 5.   Read the following passage and answer the question that follows.Artificial intelligence (AI) is the branch of computer science that deals with creating machines or systems that can perform tasks that normally require human intelligence, such as learning, reasoning, problem-solving, decision-making, and natural language processing. AI can be classified into two types: narrow AI and general AI. Narrow AI refers to AI systems that are designed to perform specific tasks or functions, such as face recognition, speech recognition, web search, or self-driving cars. General AI refers to AI systems that can exhibit human-like intelligence across a wide range of domains and tasks, such as understanding and generating natural language, playing chess or Go, or composing music. While narrow AI has achieved remarkable progress and applications in recent years, general AI remains a distant and elusive goal.Which of the following statements is the most RELEVANT question to ask after reading the passage?A)  How can AI systems be made more ethical and responsible?B)  What are the advantages and disadvantages of using AI systems?C)  How can AI systems be integrated with human intelligence and creativity?D)  What are the challenges and limitations of developing general AI systems?E)  How can AI systems be evaluated and compared with human intelligence?

Which of the following best describes artificial intelligence (AI)?

Question 1How would YOU define AI? Your definition of AI can be similar or different from the ones given in the course.5 points

Define artificial intelligence and provide an example of an AI application.