Artificial Intelligence (AI)

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Questions and Answers

Which of the following best defines Artificial Intelligence?

A field of computer science used to create machines that mimic human cognitive functions. (correct)

A technology solely focused on improving computer hardware.

A system that only performs pre-programmed tasks.

A type of software designed for data storage.

Which of these is a core capability of an AI machine that differentiates it from traditional software?

The efficiency in performing repetitive tasks.

The ability to store and manage large datasets efficiently.

The capacity to adapt and solve problems without being explicitly programmed for the specific task. (correct)

The ability to quickly execute pre-defined algorithms.

What is the primary role of an 'agent' in the context of an AI system?

To perceive the environment and act upon it to achieve specific goals. (correct)

To act as a communication channel between different AI systems.

To provide a storage space for data collected from the environment.

To develop the software and hardware components of an AI system.

An AI agent's ability to adjust its operations based on new information and experiences is primarily described as what?

Adaptation. (B) Signup and view all the answers

Machine perception relies most heavily on what type of input?

Data from various sensors. (A) Signup and view all the answers

Which of the following is NOT a commonly cited example of a high-profile AI application?

Predicting the stock market (B) Signup and view all the answers

Which of the following is considered an enabling technology for the advancement of AI?

The advent of Big Data (C) Signup and view all the answers

Which of the following best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

ML is a subset of AI, and DL is a subset of ML. (D) Signup and view all the answers

What is a primary goal of Artificial Intelligence?

Replicate human intelligence (D) Signup and view all the answers

Which of the following is considered an ADVANTAGE of Artificial Intelligence?

High reliability (D) Signup and view all the answers

Which of the following is a DISADVANTAGE of Artificial Intelligence?

Lack of Original Creativity (A) Signup and view all the answers

What is one way cloud computing has influenced the advancement of AI?

It provides access to services like data analysis and AI capabilities through the internet. (B) Signup and view all the answers

How do APIs facilitate the development of AI applications?

By enabling software components to communicate easily with each other (D) Signup and view all the answers

Which of the following AI applications is used in agriculture?

Soil and crop monitoring (B) Signup and view all the answers

How is AI used in the gaming and entertainment industry?

To provide show recommendations on streaming platforms (C) Signup and view all the answers

How is AI used within social media platforms?

To analyze data for identifying user trends (B) Signup and view all the answers

What is a specific way AI is used in the travel and transport sector?

To suggest hotels and flights (D) Signup and view all the answers

Which of the following is a common AI tool or platform?

TensorFlow (B) Signup and view all the answers

In what way does AI contribute to email systems?

By categorizing incoming emails (B) Signup and view all the answers

How is AI typically used in online shopping?

By recommending products to customers (A) Signup and view all the answers

Study Notes

Artificial Intelligence (AI) - Chapter 3

AI is a branch of computer science aimed at creating intelligent machines capable of mimicking human behavior, thought processes, and decision-making.
AI encompasses skills like learning, reasoning, and problem-solving. Machines with AI can perform tasks without explicit programming.
Machine learning uses algorithms to analyze data, learn from it, and make informed decisions based on that learned information.
Deep learning is a specialized type of machine learning. It uses layered algorithms to create artificial neural networks enabling sophisticated learning capabilities.
Deep learning is crucial for developing AI systems that exhibit highly human-like intelligence.
An AI system functions as an agent interacting with an environment.
The agent perceives its environment through sensors, converting environmental factors into percepts.
The agent acts on the environment through effectors.
Agents evaluate predictions and adapt based on assessments.
Machine perception refers to the ability of AI systems to use sensor inputs (cameras, microphones, etc.) to understand aspects of the world (such as computer vision).
Applications of AI include autonomous vehicles, medical diagnosis, art creation, mathematical theorem proving, playing games, search engines, virtual assistants, spam filtering, image recognition, predicting judicial decisions, and targeting online advertisements.
Enabling technologies for AI include the internet, big data, smart mobile phones, social media, and cheaper/more powerful hardware such as GPUs.
AI, machine learning, and deep learning are interconnected, with deep learning being a subset of machine learning, itself a subset of AI.
AI's purpose is to develop expert systems displaying intelligent behavior and solve complex problems.
Key goals include replicating human intelligence, mastering knowledge-intensive tasks, and establishing intelligent links between perception and action.
AI encompasses various disciplines such as computer science, sociology, psychology, mathematics, philosophy, and biology.
Advantages of AI include high accuracy, speed, reliability, and usefulness in high-risk environments as well as their use as digital assistants and public utilities.
Limitations of AI encompass high costs, a lack of original creativity, an inability to "think outside the box," the inability to experience emotions, a limited scope of trained or programmed actions, and increased dependence on machines.

Enabling Technologies

Big data
Advancements in computer processing speed and new chip architectures
Cloud computing and APIs
Emergence of data science

AI Tools and Platforms

Neural networks
Control theory
Programming languages
Microsoft Azure Machine Learning
Google Cloud Prediction API
IBM Watson
TensorFlow

Sample AI Applications

Commuting (Google's AI-powered predictions, ride-sharing apps like Uber and Lyft, commercial flight autopilot)
Email (spam filters, smart email categorization)
Social networking (face detection, suggesting friends to tag, adding animated effects/masks)
Online shopping (recommendations, "viewed this item also viewed" and "bought this item also bought")
Mobile use (voice-to-text, smart assistants like "Ok Google")

Applications

Agriculture: robotics, soil and crop monitoring, predictive analysis.
Healthcare: faster and more accurate diagnoses.
Education: chatbots as teaching assistants.
Finance & E-commerce: adaptive intelligence, algorithm trading, product discovery.
Gaming & Entertainment: recommendation systems.
Data security: identifying software bugs and cyberattacks.
Social media: analyzing trends and user requirements.
Travel & Transportation: travel arrangements, travel route suggestions.
Automotive: self-driven cars.
Robotics: creation of smart robots capable of performing tasks with learned experiences.

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Description

Dive into Chapter 3 of Artificial Intelligence, where you will explore key concepts like machine learning and deep learning. Understand how intelligent machines can mimic human behavior and make decisions. This chapter details the role of agents and their interactions with the environment.