Artificial Intelligence Core Technologies
20 Questions
0 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

What defines a machine as possessing intelligence according to the Turing Test?

  • It can perform complex calculations faster than humans.
  • It can analyze data better than a human expert.
  • It can converse with humans without revealing its identity as a machine. (correct)
  • It can be programmed to follow instructions precisely.
  • Which period marked the initial breakthroughs in artificial intelligence development?

  • 1990s to 2010
  • 1970s to early 1980s
  • 1956 to early 1960s (correct)
  • 1980s to 1990s
  • What was a major drawback of expert systems during the slow development period of AI?

  • They operated without any human supervision.
  • They lacked common knowledge and had narrow applications. (correct)
  • They were too complex for users to operate.
  • They required extensive datasets for performance.
  • Which advancement during the steady development period of AI contributed to its practicality?

    <p>The rapid development of network technology.</p> Signup and view all the answers

    In which current AI branch does object detection and facial recognition fall under?

    <p>Computer Vision</p> Signup and view all the answers

    What does speech recognition technology aim to achieve?

    <p>Identifying spoken language and converting it into text.</p> Signup and view all the answers

    During the booming development period of AI, what key technology contributed to its rapid growth?

    <p>Cloud Computing and Big Data</p> Signup and view all the answers

    What task is primarily associated with text mining in artificial intelligence?

    <p>Sorting and classifying text documents.</p> Signup and view all the answers

    What is the primary functionality of machine translation?

    <p>To automatically convert text from one language to another.</p> Signup and view all the answers

    What was a notable achievement of AI during the steady development phase from 1990 to 2010?

    <p>IBM's supercomputer defeating a chess champion.</p> Signup and view all the answers

    What are the three essential elements required for the development of artificial intelligence?

    <p>Data, algorithm, and computing power</p> Signup and view all the answers

    Which processing unit is primarily suitable for I/O intensive tasks?

    <p>CPU</p> Signup and view all the answers

    What distinguishes deep learning from traditional machine learning methods?

    <p>It mimics neural processes of the human brain.</p> Signup and view all the answers

    Which of the following algorithms is NOT commonly associated with machine learning?

    <p>Graphical User Interface (GUI)</p> Signup and view all the answers

    In what context is computer vision used in the field of artificial intelligence?

    <p>Recognizing and processing images</p> Signup and view all the answers

    Which type of neural network is known for its effectiveness in analyzing visual data?

    <p>Convolutional Neural Network (CNN)</p> Signup and view all the answers

    The term 'artificial intelligence' was first introduced in which year?

    <p>1956</p> Signup and view all the answers

    What is the main purpose of natural language processing (NLP) in AI?

    <p>To facilitate communication between humans and machines</p> Signup and view all the answers

    Which processing unit is specifically designed for machine learning algorithms?

    <p>TPU</p> Signup and view all the answers

    What is an example of a commonly used algorithm in machine learning?

    <p>Decision Tree</p> Signup and view all the answers

    Study Notes

    Artificial Intelligence Core Technologies

    • Artificial Intelligence (AI) is a technological science that studies, develops, and applies theories, methods, techniques, and application systems to simulate, extend, and expand human intellect.
    • The three essential elements of AI:
      • Data
      • Algorithms
      • Computing power: CPU, GPU, TPU
    • CPU: Central Processing Unit, suitable for input/output intensive tasks
    • GPU: Graphics Processing Unit, suitable for computationally demanding tasks
    • TPU: Tensor Processing Unit, a chip specifically for machine learning algorithms
    • Machine Learning (ML) is a technique that uses algorithms to analyze data, learn continuously, and make judgments and predictions about what happens in the world. Common ML algorithms include decision trees, random forests, logistic regression, support vector machines (SVM), naive Bayes, K-nearest neighbors algorithm, K-means algorithm, and neural networks.
    • Deep Learning (DL) is a type of machine learning technology that is used to build and simulate neural networks that analyze and learn like the human brain and mimic the brain's mechanisms to interpret data. Its essential characteristic is that it attempts to mimic the pattern of information transmission and processing between neurons in the brain. The most notable applications are in the fields of computer vision (CV) and natural language processing (NLP). Deep learning is further divided into convolutional neural networks (CNN) and deep belief nets (DBN).
    • The most significant application scenarios of AI include:
      • Image recognition:
        • Object recognition
        • Face recognition
      • Image style transfer
      • Image Descriptions
      • Text classification
      • Speech recognition

    AI Development History

    • The term artificial intelligence originated at the Dartmouth Summer Research Project in 1956.
    • The "Proposal for the Dartmouth Summer Research Project on Artificial Intelligence", which initiated the first Artificial Intelligence conference, was submitted in August 1955 by John McCarthy (Dartmouth College), Marvin Minsky (Harvard University), Nathaniel Rochester (IBM), and Claude Shannon (founder of information theory).
    • Alan Turing proposed the Turing test: If a machine can engage in a conversation with a human (via a telecommunications device) and cannot be distinguished from a human, then the machine is considered to have intelligence. This simplification allowed Turing to convincingly demonstrate that "thinking machines" are possible.
    • Alan Turing's Turing machine model laid the foundation for the logical operation of modern computers.
    • AI history can be categorized into six stages:
      • 1956 - 1960s: Initial stage – First breakthroughs and boom in AI, with advancements like machine theorem proving, checkers programming, etc..
      • 1960s - 1970s: Reflection stage – AI experienced challenges and setbacks resulting from over ambitious research targets.
      • 1970s - 1980s: Application stage – Expert systems were developed to simulate human expert knowledge and experience to solve problems in specific domains, leading to a shift from research to practical applications.
      • 1980s - 1990s: Slow development stage - Expert systems faced limitations like narrow application areas, knowledge acquisition difficulties, and a lack of distributed functionality.
      • 1990s - 2010: Steady development stage – Advancements in AI innovations were fueled by the development of network technology.
        • 1997: IBM's Deep Blue supercomputer defeated the world chess champion Garry Kasparov.
        • 2008: IBM proposed the concept of "Cognitive Earth".
      • 2011 - Present: Booming stage – Breakthroughs in AI with advancements in big data, cloud computing, the internet, and the Internet of Things.
        • Image classification, speech recognition, knowledge answering, human-machine games, and driverless driving have become possible.

    Branches of Artificial Intelligence

    • Computer Vision (CV) is the ability of machines to perceive the environment. Classic tasks in this technology category include image formation, image processing, feature extraction, and three-dimensional reasoning. Object detection and facial recognition are relatively successful research areas.
    • Speech Recognition is the technology that identifies speech (spoken language) and converts it to the corresponding text. The opposite task (text-to-speech / TTS) is also a similar research topic in this domain.
    • Text Mining refers to text classification, which can be used to understand, organize, and classify structured or unstructured text documents. It covers main tasks like syntactic analysis, sentiment analysis, and spam detection.
    • Machine Translation uses the power of machine to automatically translate a text from one natural language (source language) to another (target language).

    Studying That Suits You

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

    Quiz Team

    Related Documents

    Description

    Explore the foundational elements of Artificial Intelligence in this quiz. Learn about data, algorithms, and the different types of computing power including CPU, GPU, and TPU. Delve into machine learning and deep learning techniques that drive modern AI innovations.

    More Like This

    Artificial Intelligence Overview
    24 questions
     Machine Learning Introduction
    18 questions

    Machine Learning Introduction

    ImpressiveMountRushmore avatar
    ImpressiveMountRushmore
    Expert Systems and Deep Learning
    10 questions
    Use Quizgecko on...
    Browser
    Browser