Introduction to Artificial Intelligence (AI) Week 1 Quiz Answers

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Introduction to Artificial Intelligence (AI) complete course is currently being offered by IBM through Coursera platform.

About this Course

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini project.

Also Check: How to Apply for Coursera Financial Aid

Introduction to Artificial Intelligence Week 1 Quiz Answers - Coursera!

What is AI Applications and Examples of AI

Q1) Which of the following is NOT a good way to define AI?

  • AI is the application of computing to solve problems in an intelligent way using algorithms.
  • AI is all about machines replacing human intelligence.
  • AI is Augmented Intelligence and is not intended to replace human intelligence rather extend human capabilities
  • AI is the use of algorithms that enable computers to find patterns without humans having to hard code them manually

Q2) Which of the following is an attribute of Strong or Generalized AI?

  • Perform independent tasks
  • Cannot teach itself new strategies
  • Operate with human-level consciousness
  • Can perform specific tasks, but cannot learn new ones

Q3) AI is the fusion of many fields of study. Which of these fields, along with Computer Science, plays a role in the application of AI?

  • All responses are correct

Q4) Which of these is NOT a current application of AI?

  • Collaborative Robots helping humans lift heavy containers
  • Classifying rock samples to identify best places to drill for oil
  • Making precise patient diagnosis and prescribing independent treatment
  • Self-Driving vehicles utilizing Computer Vision to navigate around objects

Q5) Natural Language AI algorithms that learn by example are the reason we can talk to machines and they can talk back to us.

Q6) Advances in the field of Computer Vision make which of the following possible?

  • Detecting fraudulent transactions
  • Detecting cancerous moles in skin images

Q7) Which of these is currently NOT an application of Collaborative Robots or Cobots?

  • Robots helping humans lift heavy containers
  • Robots helping move items on shelves for stocking purposes
  • Personal use in the home such as doing the laundry and cooking for example
  • Robots assisting or replacing humans in jobs that may be dull, dangerous, ineffective or inefficient when done by humans

Q8) Which of the following aspects involved in converting the stethoscope into a digital device to support patient diagnoses involves the use of AI?

  • Sending digital signals to a mobile device with a machine learning app via bluetooth
  • Graphing heart beat data on the mobile device allowing a physician to spot trends
  • Inserting a digitizer into the stethoscope tube to convert the analog sound of the heart beat into a digital signal
  • An app on the mobile device that applies learnings from previous diagnosis data to assist the physicians in their current diagnoses

Q9) Which of the following are applications of Artificial Intelligence in action?

A. IBM Watson utilizing its information retrieval capabilities to provide technical information to oil and gas company workers.

B. Watson analyzing Grammy nominated song lyrics over a 60-year period and categorizing them based on their emotions.

C. Assisting patients with neurological damage by detecting patterns in massive movement related datasets and using robots to trigger specific movements in the human body to create new neural pathways in the brain.

D. Law enforcement authorities using facial recognition algorithms to identify suspects in multiple streams of video footage

  • Only options A, B, and C are correct
  • Only option A is correct
  • All of the options are correct



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