Unit 4: Modern AI Systems
48 Questions
3 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Which of the following is an example of an augmented reality device?

  • Amazon Echo
  • Microsoft Word
  • Google Docs
  • Oculus Rift (correct)
  • What is one major benefit of cloud computing?

  • Reduces the need for personal investments in computing resources (correct)
  • Increases individual hardware ownership
  • Eliminates the need for the internet
  • Requires extensive maintenance of personal equipment
  • What programming practice was emphasized to achieve clarity in software development during the 1980s?

  • Minimizing repetition in logic
  • Creating monolithic applications
  • Breaking large programs into smaller functions (correct)
  • Using go-to constructs
  • Which operating system was adopted by IBM during the rise of personal computing in the 1980s?

    <p>MS-DOS (B)</p> Signup and view all the answers

    Which of the following applications can be found in augmented reality systems?

    <p>3D tourism (A)</p> Signup and view all the answers

    Which of the following companies is still in existence today and made significant contributions to software during the 1980s?

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

    What trend is highlighted regarding product ownership in urban areas?

    <p>Greater acceptance of renting over ownership (D)</p> Signup and view all the answers

    What technological development emerged from CERN, impacting the World Wide Web?

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

    Which company has NOT been mentioned as a cloud computing provider?

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

    In which decade did hyperlinks gain popularity as a means to connect web pages?

    <p>1990s (C)</p> Signup and view all the answers

    What cryptocurrency has experienced considerable volatility since its announcement?

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

    Which event marked a significant achievement in artificial intelligence during the 1980s?

    <p>IBM's Deep Blue defeating Garry Kasparov (C)</p> Signup and view all the answers

    Which of the following is NOT a benefit of car sharing services?

    <p>Increased need for parking spaces (D)</p> Signup and view all the answers

    What advanced technology requires substantial computational resources and contributes to the growth of cloud computing?

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

    What was a significant feature of the Windows operating system introduced in 1990?

    <p>Graphical user interface (A)</p> Signup and view all the answers

    Which phenomenon describes the increased value of a product as more users adopt it?

    <p>Network effect (A)</p> Signup and view all the answers

    Which of the following best describes 'blobs' in image processing?

    <p>Uniform subareas in a picture. (D)</p> Signup and view all the answers

    What is the primary purpose of extracting higher-level features from an image?

    <p>To facilitate pattern recognition and machine learning. (B)</p> Signup and view all the answers

    Which step does NOT typically belong in a computer vision pipeline?

    <p>Automated manual editing. (A)</p> Signup and view all the answers

    Which image feature is characterized by an edge that rapidly changes direction?

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

    What role does cloud computing play in advancing artificial intelligence?

    <p>Enabling seamless scaling of computational resources. (C)</p> Signup and view all the answers

    What is a common application of computer vision techniques in medical imaging?

    <p>Detecting malignant tissue. (C)</p> Signup and view all the answers

    Which of the following techniques is used to improve the suitability of an image for processing?

    <p>Contrast enhancement. (B)</p> Signup and view all the answers

    Why are techniques from various fields significant in the study of computer vision?

    <p>They provide a diverse foundation for methodological advancement. (C)</p> Signup and view all the answers

    What has significantly driven progress in deep learning and artificial intelligence in recent years?

    <p>Advances in data storage and computing capabilities (C)</p> Signup and view all the answers

    What are the two main fields that work together to produce advances in artificial intelligence?

    <p>Computer science and artificial intelligence (A)</p> Signup and view all the answers

    What distinguishes weak or narrow artificial intelligence from Artificial General Intelligence?

    <p>Weak AI is limited to specific tasks while AGI would have general problem-solving abilities. (C)</p> Signup and view all the answers

    Why is the 1950s considered a significant period for computing technology?

    <p>It marked the beginning of computing as an industrial sector. (D)</p> Signup and view all the answers

    What was the first commercial version of a computer introduced in the 1950s?

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

    What is the main function of vacuum tubes in early computers?

    <p>To turn bits of information on or off (D)</p> Signup and view all the answers

    What effect did recent technology advancements have on previously popular models of machine intelligence?

    <p>They caused a decline in interest in connectionist models. (C)</p> Signup and view all the answers

    Which of the following best describes the relationship between computing and artificial intelligence?

    <p>They are interrelated and drive each other's advancements. (A)</p> Signup and view all the answers

    What defines the next state in a Markov model?

    <p>The last state of the system and transition rules (B)</p> Signup and view all the answers

    Which component of natural language processing deals with the structure of sentences?

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

    What challenge does speech-to-text technology primarily face?

    <p>Segmenting continuous speech into words (A)</p> Signup and view all the answers

    What is the main purpose of text summaries in natural language processing?

    <p>To produce readable versions of large amounts of text (B)</p> Signup and view all the answers

    Which of the following best describes semantics in natural language processing?

    <p>The meaning and interpretation of words (B)</p> Signup and view all the answers

    What role does terminology extraction play in natural language processing?

    <p>It analyzes text and counts frequently used words (B)</p> Signup and view all the answers

    How has the shift towards statistical models influenced natural language processing?

    <p>It has increased robustness against new language patterns (D)</p> Signup and view all the answers

    What makes speech recognition a complex task in natural language processing?

    <p>The variability in dialects and pronunciation (B)</p> Signup and view all the answers

    What distinguishes cloud computing from time sharing?

    <p>Cloud computing allows for the sharing of hardware resources among multiple clients. (A)</p> Signup and view all the answers

    What notable characteristic does cloud computing exhibit?

    <p>It is parallel, geographically distributed, and virtualized. (D)</p> Signup and view all the answers

    How does grid computing relate to the concept of an electric grid?

    <p>Grid computing includes heterogeneous nodes performing varying workloads. (D)</p> Signup and view all the answers

    What is a significant benefit of cloud technology specifically for artificial intelligence?

    <p>It provides highly scalable computational and data storage resources. (B)</p> Signup and view all the answers

    What differentiates cluster computing from grid computing?

    <p>Cluster computing systems work on the same task using connected nodes. (A)</p> Signup and view all the answers

    In what way can cloud computing be perceived economically?

    <p>As a public resource akin to basic utilities like water and electricity. (A)</p> Signup and view all the answers

    Which of the following statements about virtual computers is true?

    <p>They are created within a server environment for multiple clients simultaneously. (B)</p> Signup and view all the answers

    Which application area is highlighted as significant for the use of artificial intelligence and cloud technology?

    <p>Supply chain management. (C)</p> Signup and view all the answers

    Flashcards

    Network effect

    The idea that the value of a product or service increases as more people use it.

    Modular programming

    A software development approach that emphasizes breaking down large programs into smaller, reusable functions to improve clarity and maintainability.

    MS-DOS

    A computer operating system developed by Microsoft in the 1980s, widely adopted by IBM.

    TCP/IP

    The protocol that governs the exchange of data over the internet.

    Signup and view all the flashcards

    World Wide Web (WWW)

    The system that allows users to access and navigate interconnected web pages.

    Signup and view all the flashcards

    Java

    A popular programming language that became commercially successful in the 1990s, known for its platform independence.

    Signup and view all the flashcards

    Windows 3.0

    A personal computer operating system developed by Microsoft, launched in 1990. It became a global standard for personal computers.

    Signup and view all the flashcards

    Microsoft Office

    A suite of productivity software developed by Microsoft, released in the 1990s. It became a global standard for office applications.

    Signup and view all the flashcards

    Artificial Intelligence (AI)

    The use of computers to create intelligent systems that can learn and solve problems like humans.

    Signup and view all the flashcards

    Machine Intelligence

    A field of computer science focused on developing intelligent machines that can learn and reason like humans.

    Signup and view all the flashcards

    Weak AI

    A type of AI that focuses on specific tasks and doesn't have general intelligence.

    Signup and view all the flashcards

    Strong AI or Artificial General Intelligence (AGI)

    A theoretical type of AI that possesses general intelligence and can perform any task a human can.

    Signup and view all the flashcards

    Deep Learning

    A type of AI that uses brain-inspired algorithms to learn from data.

    Signup and view all the flashcards

    Computing and AI Relationship

    The interrelation between advancements in computer hardware and the progress in AI.

    Signup and view all the flashcards

    Computer Vision

    The ability to analyze and understand visual information.

    Signup and view all the flashcards

    Natural Language Processing (NLP)

    The ability to understand and process human language.

    Signup and view all the flashcards

    Democratic Computing

    A computing paradigm where data and communications become accessible to a wider audience, leading to new business opportunities like advertising and data services.

    Signup and view all the flashcards

    Time Sharing

    Similar to cloud computing but involves shared hardware resources, allowing simultaneous access to everyone. It was popular in the 1980s.

    Signup and view all the flashcards

    Virtual Computer

    A virtual machine that runs inside a server or cloud, serving a single client at a time. Multiple virtual machines can exist on the same physical hardware.

    Signup and view all the flashcards

    Cloud Computing

    A computing model that is parallel, distributed, and virtualized, offering on-demand access to resources like computing power and data storage.

    Signup and view all the flashcards

    Grid Computing

    A parallel computing model where different nodes perform tasks, connected through a network. It operates in a distributed manner.

    Signup and view all the flashcards

    Cluster Computing

    A form of parallel computing where standalone computers work together on the same task. It shares resources at runtime.

    Signup and view all the flashcards

    Cloud Benefits for AI

    The ability of cloud technology to provide scalable computational resources and data storage, vital for artificial intelligence applications.

    Signup and view all the flashcards

    Supply Chain Management

    A process that involves managing the flow of goods and services from suppliers to customers. It can be significantly enhanced by AI and cloud technology.

    Signup and view all the flashcards

    Augmented Reality (AR)

    A type of technology using computer-generated images superimposed onto a user's view of the real world, providing interactive experiences.

    Signup and view all the flashcards

    Impact of AI on Cloud Computing

    The rapid advancement in artificial intelligence has created an increasing need for vast computational power and data storage. Cloud computing provides a cost-effective solution by sharing these resources.

    Signup and view all the flashcards

    Firefox

    The open-source web browser that competes with Google Chrome.

    Signup and view all the flashcards

    Bitcoin

    A digital currency that operates independently of central banks. It is characterized by its decentralized nature and volatile value.

    Signup and view all the flashcards

    Cloud Computing Providers

    Companies that provide cloud computing services, including infrastructure, platforms, and software, enabling access to shared resources.

    Signup and view all the flashcards

    Wearable Devices

    The use of wearable technology like smartwatches and fitness trackers that collect data on health, activities, and other personal metrics.

    Signup and view all the flashcards

    Sharing Economy

    The trend where individuals are choosing to rent or share products and services instead of owning them individually. This applies to cars, bicycles, vacation homes, and even computing resources.

    Signup and view all the flashcards

    Markov Model

    In a Markov model, only the last state of the system, together with a set of transition rules, determines the next state, ignoring previous history.

    Signup and view all the flashcards

    Syntax

    The study of the grammatical structure of a language, including the rules governing the arrangement of words in sentences.

    Signup and view all the flashcards

    Semantics

    The study of the meaning of words and phrases, taking into account their context.

    Signup and view all the flashcards

    Speech Recognition

    A technology that converts spoken language into written text.

    Signup and view all the flashcards

    Text Summaries

    A technology that produces concise summaries of large volumes of text.

    Signup and view all the flashcards

    Terminology Extraction

    The process of analyzing text to identify and extract frequently used terms.

    Signup and view all the flashcards

    Robustness in NLP

    The ability of natural language processing methods to handle previously unseen data or situations.

    Signup and view all the flashcards

    Shift Towards Statistical Models in NLP

    The use of statistical, decision-theoretic, and machine learning techniques to improve the performance of natural language processing methods.

    Signup and view all the flashcards

    Image Features

    Image features, such as edges, corners, blobs, and ridges, derived from pixel values, provide information about an image's content.

    Signup and view all the flashcards

    Object Recognition in Images

    Computer vision techniques process image features to identify objects, faces, and other semantically meaningful content.

    Signup and view all the flashcards

    Image Pre-processing

    Image processing steps to enhance raw pixel data for better analysis. Examples include sharpening and contrast enhancement.

    Signup and view all the flashcards

    Computer Vision Pipeline

    A computer vision pipeline involves image acquisition, pre-processing, feature extraction, and pattern recognition or machine learning.

    Signup and view all the flashcards

    Cloud Computing's Role in AI

    Cloud computing has reduced the cost of data storage and processing, allowing for more efficient utilization of artificial intelligence resources.

    Signup and view all the flashcards

    AI and Computer Science Synergy

    Artificial intelligence and computer science technologies have progressed together, with advances in one field benefiting the other.

    Signup and view all the flashcards

    Reduced Cost of Data and Computing

    Data analysis and processing power have become cheaper and more readily available due to advancements in cloud computing.

    Signup and view all the flashcards

    Study Notes

    Unit 4: Modern Artificial Intelligence Systems

    • Study Goals: This unit covers the relationship between computing and artificial intelligence. It explores advancements in computing since the 1950s, differentiates between narrow and general AI, and examines the potential of AI systems compared to computer vision and natural language processing.

    4.1 Recent Developments in Hardware and Software

    • 1950s: Computing became an industry, driven by universities and government funding. Early computers relied heavily on vacuum tubes. The UNIVAC was an early commercial computer, and high-level programming languages (FORTRAN, COBOL, Lisp) emerged.

    • 1960s: There was an acceleration of change, focusing on integrated circuits rather than vacuum tubes. Transistors replaced vacuum tubes, leading to smaller, faster, more reliable, and cost-effective computers. Moore's Law was coined, although it is believed to be outdated today, and it describes the rate at which transistors increase in a computer chip. Key innovations were the IBM-360, PDP-8, and CDC-6600 (first supercomputer).

    • 1970s: The size of hardware decreased, and the ease of programming increased. Microsoft and Apple were established. Word processing and spreadsheet software became prevalent. Internet technologies including email and ARPANET emerged.

    • 1980s: The private sector became a key driver of advancements. Technologies such as MS-DOS, Adobe Photoshop, TCP/IP and the World Wide Web (WWW) were developed. Key figures in this development include Alan Turing, who published the seminal paper "Computing Machinery and Intelligence" which proposed machine intelligence.

    • 1990s: The internet became more popular with the rise of hyperlinks and the Windows operating system (Windows 3.0, 95, 98). Microsoft Office became a globally recognized standard. IBM's Deep Blue beat a chess champion, and the first smartphone was introduced by Nokia.

    • 2000s Onward: Hardware and software became more integrated. New products emerged like wearable devices and augmented reality (AR), along with new applications and services. Bitcoin, a cryptocurrency, was announced. Firefox and Chrome browsers gained prominence. These developments combined business, entertainment, and technology.

    4.2 Narrow Versus General Artificial Intelligence

    • Narrow AI (ANI) / Weak AI: Current AI systems are examples. They excel at specific tasks like self-driving cars, natural language translation, sales forecasting or facial recognition, but lack the broader abilities of human intelligence.

    • General AI (AGI) / Strong AI: The goal of AGI is to create systems with similar cognitive capabilities to humans, including problem-solving, learning, and adaptability. It is a much more complex and ambitious prospect. Current technology does not have the capabilities to design systems that provide this comprehensive form of intelligence. It may be years from now before this kind of general AI will become reality.

    4.3 Natural Language Processing (NLP) and Computer Vision

    • NLP: NLP covers several steps. This includes: speech recognition, language understanding (meaning and interpretation from words and sentences), and language generation (creating written or spoken texts). The ultimate goal is to allow natural language communication with machines.

    • Computer Vision: The field of computer vision aims to create computer systems that "see" and understand images or videos in a way that humans can, using various techniques to recognize objects, faces, and other visual elements in images. It is a subfield of artificial intelligence. Computer vision involves several steps, including image acquisition, signal processing, feature extraction, and pattern recognition. These techniques are used in various applications such as autonomous vehicles, medical image analysis, and security systems.

    Cloud Computing

    • Cloud computing enables sharing of hardware and software resources instead of individual ownership for faster and more economical AI development.
    • Cloud computing is geographically distributed, virtualized, and parallel.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Related Documents

    Description

    Explore the evolution of computing and artificial intelligence in Unit 4. This section delves into the advancements in hardware and software from the 1950s to the 1960s, highlighting the shift from vacuum tubes to integrated circuits and the rise of early programming languages. Understand the distinctions between narrow and general AI.

    More Like This

    Use Quizgecko on...
    Browser
    Browser