Emerging Technologies Module Quiz

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Questions and Answers

Which university was established most recently, according to the module development information?

  • Addis Ababa Science & Technology University (correct)
  • Adama Science & Technology University
  • Ministry of Science and Higher Education
  • Bahir Dar University

Which of these topics is NOT covered in the module?

  • The Internet of Things Architecture
  • Evolution of technologies
  • Quantum computing basics (correct)
  • Applications of Artificial Intelligence

In which chapter is the topic of professional ethics in emerging technologies covered?

  • Chapter 6 (correct)
  • Chapter 4
  • Chapter 3
  • Chapter 5

According to the module, which of the following is studied in weeks 3-4?

<p>Data science and Big data (B)</p> Signup and view all the answers

Which of these technologies is studied with respect to smart homes, smart cities, smart grids, and smart farming?

<p>The Internet of Things (C)</p> Signup and view all the answers

Which chapter of the module discusses the similarities and differences between Augmented Reality, Virtual Reality, and Mixed Reality?

<p>Chapter 5 (B)</p> Signup and view all the answers

Which of the following topics were studied during the first two weeks of the module?

<p>Human to machine interaction (D)</p> Signup and view all the answers

Who was the editor of the module?

<p>Tesfahunegn Minwuyelet (C)</p> Signup and view all the answers

Which of the following best describes Hadoop's reliability?

<p>It stores data copies across different machines, improving resistance to hardware failures. (D)</p> Signup and view all the answers

What does 'horizontal scaling' refer to in the context of Hadoop?

<p>Adding more nodes to the cluster. (C)</p> Signup and view all the answers

Which component of the Hadoop ecosystem is primarily responsible for managing cluster resources?

<p>YARN (D)</p> Signup and view all the answers

Which Hadoop component is best suited for transferring data from relational databases to HDFS?

<p>Sqoop (C)</p> Signup and view all the answers

What is the primary function of the 'Ingest' stage in the Big Data life cycle with Hadoop?

<p>Transferring data from various sources to Hadoop. (A)</p> Signup and view all the answers

Which of the following describes the processing stage in the Big Data life cycle?

<p>Data is stored in HDFS and processed using Spark and MapReduce. (D)</p> Signup and view all the answers

Which tool is primarily used for query-based processing of structured data in Hadoop?

<p>Hive (C)</p> Signup and view all the answers

What is the purpose of the 'Access' stage in the Big Data life cycle relating to Hadoop?

<p>To visualize and make the analyzed data accessible to users. (C)</p> Signup and view all the answers

What is the core definition of Artificial Intelligence (AI)?

<p>The field of computer science focused on creating machines that mimic human thinking and decision-making. (A)</p> Signup and view all the answers

According to the provided content, what is 'intelligence' primarily defined as in the context of AI?

<p>The skill to acquire and utilize knowledge. (C)</p> Signup and view all the answers

What does the term 'artificial' signify in the context of Artificial Intelligence?

<p>Man-made or created by humans. (D)</p> Signup and view all the answers

What is the relationship between 'knowledge' and 'experience', according to the provided content in the context of AI?

<p>Knowledge is information acquired through experience. (D)</p> Signup and view all the answers

Which of the following best describes the primary goal of Artificial Intelligence?

<p>To create man-made systems that can mimic human thought and behavior. (D)</p> Signup and view all the answers

Based on the provided definitions, which one encapsulates the concept of an 'intelligent machine'?

<p>A machine that can learn and solve problems. (D)</p> Signup and view all the answers

What role does 'training' play in the development of artificial intelligence, according to the text?

<p>It is the process through which machines acquire knowledge. (B)</p> Signup and view all the answers

What is a key takeaway about the relationship between AI and human intelligence?

<p>AI aims to use technology to simulate human thought and intelligence. (A)</p> Signup and view all the answers

Why is the development and maintenance of AI systems considered expensive?

<p>Because of the high cost of the hardware and software required. (A)</p> Signup and view all the answers

What limitation does AI have in terms of 'thinking out of the box'?

<p>AI can only perform tasks it has been specifically trained or programmed for. (D)</p> Signup and view all the answers

How does the absence of feelings and emotions in AI potentially impact users?

<p>AI machines may harm users, especially if proper care is not considered. (A)</p> Signup and view all the answers

What is a negative consequence of increased reliance on AI technology, according to the context?

<p>Reduction in human mental capabilities due to dependence on devices. (C)</p> Signup and view all the answers

What distinguishes human creativity from the capabilities of AI machines?

<p>Humans can imagine new ideas, which AI is not capable of replicating. (D)</p> Signup and view all the answers

According to the provided context, what is a concern regarding the advancement of AI?

<p>AI could advance to the stage of superintelligence, which poses a threat to human existence. (C)</p> Signup and view all the answers

What does the provided content indicate about the age of AI technology?

<p>AI technology has been around for a longer amount of time than most people think. (C)</p> Signup and view all the answers

What is a key consideration that needs to be remembered when developing AI systems, based on the context?

<p>Consider the high costs involved in both development and maintenance of the AI system. (A)</p> Signup and view all the answers

What was a key factor contributing to the second AI winter?

<p>High costs of AI research combined with a lack of efficient results (D)</p> Signup and view all the answers

Which of the following best describes an expert system?

<p>A system that emulates human decision-making (B)</p> Signup and view all the answers

In what year did IBM’s Deep Blue beat world chess champion Gary Kasparov?

<p>1997 (B)</p> Signup and view all the answers

What was the landmark achievement of the AI program 'Eugene Goostman' in 2014?

<p>Passing the Turing test by fooling judges into thinking it's human (C)</p> Signup and view all the answers

Which of these technologies marked AI's entry into homes?

<p>Roomba vacuum cleaner (C)</p> Signup and view all the answers

Which of these AI programs demonstrated human-like conversation by making phone calls?

<p>Google Duplex (D)</p> Signup and view all the answers

What capability was primarily demonstrated by IBM's Watson winning Jeopardy?

<p>Capability to understand natural language and quickly solve complex questions (B)</p> Signup and view all the answers

Which company launched the Android app feature 'Google Now' with predictive information capabilities in 2012?

<p>Google (D)</p> Signup and view all the answers

Which of these best describes the relationship between Artifical Intelligence, Machine Learning and Deep Learning?

<p>Machine learning is a subset of AI, and deep learning is a subset of machine learning. (D)</p> Signup and view all the answers

According to the provided text, what is one of the key characteristics of big data?

<p>High Velocity (D)</p> Signup and view all the answers

What does the 'ABCD' acronym refer to in the context of emerging technologies?

<p>Anybody Connected Device (A)</p> Signup and view all the answers

What role does data play in the context of emerging technologies, according to the text?

<p>Data plays a critical role in informing and driving the development and function of emerging technologies. (A)</p> Signup and view all the answers

What does the term ‘additive manufacturing’ refer to?

<p>A process that builds objects layer by layer from digital designs. (B)</p> Signup and view all the answers

Which of the following is NOT listed as a potential application of computer vision in the provided text?

<p>Quantum Computing (A)</p> Signup and view all the answers

What is the primary characteristic of an embedded system?

<p>It is designed to perform one specific task. (D)</p> Signup and view all the answers

What is the central idea behind Paul Milgram's Reality-Virtuality (RV) Continuum?

<p>It demonstrates the spectrum between real and completely virtual environments. (B)</p> Signup and view all the answers

What is the primary function of programmable devices in emerging technologies?

<p>To create a platform for flexible and adaptable functionality. (C)</p> Signup and view all the answers

What does HCI refer to in the context of emerging technologies?

<p>Human-Computer Interaction (D)</p> Signup and view all the answers

What is the core idea behind 'bytes-to-parts' supply chain in additive manufacturing?

<p>It focuses on using digital data to manufacture end products. (D)</p> Signup and view all the answers

Which of the following best describes the concept of 'autonomic' characteristics in a system?

<p>The system can operate independently with minimal human intervention. (D)</p> Signup and view all the answers

How are centralized and decentralized networks typically differentiated?

<p>Based on how control over the network is distributed. (A)</p> Signup and view all the answers

According to the figures, what does Figure 7.1 represent?

<p>Richard Feynman, the father of nanotechnology (A)</p> Signup and view all the answers

What are the three components of the data processing cycle?

<p>Input, Processing and Output (D)</p> Signup and view all the answers

Flashcards

Evolution of Technologies

The continuous improvement and development of technology over time, encompassing new innovations and advancements.

Role of Data in Emerging Technologies

Data is the raw material that fuels emerging technologies, enabling AI, IoT, and other innovations.

Programmable Devices

Devices that can be programmed and controlled to perform specific tasks, often used in automation and robotics.

Human-Machine Interaction

The way humans interact with machines, including interfaces like touchscreens, voice commands, and gesture recognition.

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Data Science

The study of data, its collection, analysis, storage, and application, often involving large datasets.

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Big Data

A collection of extremely large datasets that can be analyzed for patterns, trends, and valuable information.

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Artificial Intelligence

The ability of machines to think and learn like humans, including problem-solving, decision-making, and language understanding.

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Internet of Things (IoT)

A network of interconnected devices that collect and exchange data, creating a system of smart objects.

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Evolution of Technology

The continuous development and advancement of technology over time, marked by new inventions, innovations, and improvements.

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Role of Data in Emerging Technology

The raw material that fuels emerging technologies. It allows for learning, analysis, and decision-making.

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Human to Machine Interaction (HCI)

The way humans interact with machines. It involves interfaces, user experiences, and the seamless integration of technology into everyday life.

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Future Trends of Technologies

The anticipated advancements and changes in technology in the future. These trends shape the direction of development and innovation.

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HDFS

A distributed file system that stores data across multiple nodes for high availability and scalability.

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YARN

A framework that manages and allocates resources for various data processing tasks within Hadoop.

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MapReduce

A programming model for distributed data processing that divides large tasks into smaller, independent units.

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Spark

A fast, in-memory data processing engine that can handle large datasets efficiently.

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Hive

A query language for processing data stored in Hadoop, allowing for structured data analytics.

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HBase

A NoSQL database designed for storing and retrieving large amounts of data quickly.

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Zookeeper

A distributed service that manages and coordinates the Hadoop cluster, ensuring consistency and availability.

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Oozie

A tool for scheduling and managing Hadoop jobs, automating the execution of data processing tasks.

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Intelligence

The ability to learn and solve problems.

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Artificial Intelligence (AI)

The field of creating intelligent machines that can think and behave like humans.

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Velocity (Big Data characteristic)

The ability to handle a large volume of data quickly.

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Variety (Big Data characteristic)

The diversity of data types, including text, images, and videos.

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Veracity (Big Data characteristic)

The accuracy and reliability of data.

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Value (Big Data characteristic)

The usefulness and potential value of data.

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High Cost of AI

The cost of creating, maintaining, and running AI systems, including hardware and software requirements.

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AI's Limited Creativity

AI systems lack the ability to think creatively or come up with novel solutions outside of their programmed knowledge.

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AI Lacks Emotions

AI systems are unable to experience emotions and feelings like humans do.

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Increased Dependence on AI

Overreliance on AI technologies can lead to a decline in human mental capabilities and problem-solving abilities.

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Superintelligence Threat

The potential for AI to surpass human intelligence, leading to uncontrolled or harmful consequences.

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AI's Limitations

Even advanced AI systems are limited to the tasks for which they are programmed or trained.

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Potential Dangers of AI

AI systems can be harmful if not developed and used responsibly, potentially leading to unintended consequences.

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Evolution of AI

The ongoing evolution and development of AI technology.

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AI Winter

A period of reduced funding and interest in AI research due to a lack of significant progress and high costs.

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Expert Systems

Computer programs designed to mimic the decision-making abilities of human experts in specific domains.

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AI Boom (1980-1987)

The period between 1980 and 1987 when AI experienced a resurgence in interest and funding after the first "AI winter". This era saw the development of expert systems.

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Second AI Winter (1987-1993)

A period of reduced funding and interest in AI research (1987-1993) due to the high cost and limited success of expert systems.

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Deep Blue

IBM's chess-playing computer that famously defeated chess grandmaster Garry Kasparov in 1997.

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Emergence of Intelligent Agents (1993-2011)

The period (1993-2011) when AI saw the emergence of intelligent agents, which are software programs designed to perform tasks automatically.

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Watson

IBM's powerful computer system that won the TV game show Jeopardy! in 2011, demonstrating its ability to understand natural language and solve complex questions.

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Deep Learning

A type of machine learning that involves training artificial neural networks on massive amounts of data to learn and perform tasks like image recognition, natural language processing, and machine translation.

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Study Notes

Module Information

  • This module was prepared by the Ministry of Science and Higher Education (MOSHE) in collaboration with three universities
  • Bahir Dar University (Since 1963), Adama Science & Technology University (Since 1993), Addis Ababa Science & Technology University (Since 2011)
  • The module covers an Introduction to Emerging Technologies Course
  • Module code (EMTE1011/1012)
  • Compiled & Edited By: Tesfahunegn Minwuyelet (MSc)
  • Date of Compilation: November 2019

Module Preface

  • The module is designed for an Introduction to Emerging Technology Curriculum
  • It provides learning resources and teaching ideas
  • Chapter 1: Evolution of Technologies, role of data for emerging technologies, programmable devices, human-to-machine interaction, and future trends
  • Chapter 2: Data Science and Big Data (collection analysis, storage, and use)
  • Chapter 3: Artificial Intelligence (history, types, applications in health, education, agriculture, and business, tools and platforms)
  • Chapter 4: Internet of Things (IoT) (history, pros & cons, architecture, tools and platforms in smart home, city, grid, and farming)
  • Chapter 5: Augmented Reality (AR) (overview, VR/AR/MR comparisons, architecture, applications)
  • Chapter 6: Ethical and Professionalism of Emerging Technologies (technology and ethics, new ethical questions, professional responsibilities, and digital privacy)
  • Chapter 7: Other emerging technologies (nanotechnology, biotechnology, blockchain, cloud and quantum computing, autonomic computing, computer vision, cybersecurity, and additive manufacturing)

Table of Contents

  • Detailed chapter-wise outline, including subtopics and page numbers for each section

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