Artificial Intelligence: Pros and Cons

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Questions and Answers

What aspect of data does LSTM focus on when predicting elements in a sequence?

Only data points from the beginning of the sequence

Random selection of past data

Recent information as more important (correct)

All past information equally

Which application of LSTM is commonly mentioned?

Image recognition

Data mining

Email filtering

Speech recognition (correct)

What is a defining characteristic of Evolutionary Generative Adversarial Networks (E-GANs)?

Employing a population-based approach to evolve generators (correct)

Operating without reliance on competitive processes

Using static models to generate data

Relying on human input to generate outputs

What is the current status of Theory of Mind in artificial intelligence?

It is in its initial phases of development Signup and view all the answers

What does a self-aware A.I. imply?

An A.I. capable of independent thought and negotiation Signup and view all the answers

What role do sensors play in technology?

Measure environmental properties and provide feedback Signup and view all the answers

What defines an actuator in a mechanical system?

Components responsible for converting energy into motion Signup and view all the answers

In what context is emotional interaction currently lacking in A.I. systems?

In self-driving cars Signup and view all the answers

What is the time complexity of bidirectional search when using Breadth-First Search (BFS)?

O(b^(m/2)) Signup and view all the answers

What advantage does bidirectional search have compared to regular search methods?

Is faster Signup and view all the answers

What is the space complexity of the bidirectional search when using Depth-First Search (DFS)?

O(m) Signup and view all the answers

Which of the following statements about bidirectional search is true?

It requires knowledge of the goal state in advance. Signup and view all the answers

What happens when bidirectional search finds an intersection between the forward and backward searches?

The search terminates. Signup and view all the answers

Which characteristic describes a priority queue?

Elements can have the same priority and still be served in order of occurrence. Signup and view all the answers

In uniform cost search, what is prioritized during pathfinding?

The total weight of the paths. Signup and view all the answers

What is the main property of the ascending order priority queue?

The element with the lowest value has the highest priority. Signup and view all the answers

What is one major advantage of AI in the workplace?

It automates repetitive tasks, allowing for greater focus on creative work. Signup and view all the answers

Which application of AI can enhance safety in public utilities?

Self-driving cars Signup and view all the answers

What is a common disadvantage associated with implementing AI systems?

They require significant investment for development and maintenance. Signup and view all the answers

How does AI typically enhance productivity?

By automating mundane tasks, freeing up human resources for complex work. Signup and view all the answers

In which scenario would AI be especially useful?

Performing complex tasks in high-risk environments. Signup and view all the answers

What characteristic is often attributed to AI systems that enhances their practicality?

Their ability to learn from data. Signup and view all the answers

Which of the following is NOT an advantage of AI?

Inability to make decisions based on data. Signup and view all the answers

Why might AI systems struggle with broader adoption despite their advantages?

They require extensive training data and algorithms. Signup and view all the answers

What does the depth limit in depth-limited search help to resolve?

Infinite path problem in depth-first search Signup and view all the answers

What is the time complexity of the Depth-Limited Search (DLS)?

O(bl) Signup and view all the answers

Which statement correctly describes a cutoff failure value?

It occurs when the search reaches the depth limit without finding the goal. Signup and view all the answers

Which of the following is an advantage of depth-limited search?

It is memory efficient. Signup and view all the answers

What defines the space complexity of a depth-limited search?

$O(bm)$ Signup and view all the answers

Which characteristic may indicate incompleteness in depth-limited search?

Failing to find the goal with a depth limit too small Signup and view all the answers

What might a depth-limited search imply if it results in a standard failure?

The goal is unreachable due to limitations. Signup and view all the answers

What is an inherent limitation of the depth-limited search algorithm?

Incompleteness in certain scenarios Signup and view all the answers

What is a primary advantage of using Depth-First Search (DFS)?

DFS requires minimal memory usage. Signup and view all the answers

Why is Depth-First Search considered incomplete?

It can get stuck in infinite loops. Signup and view all the answers

What is the time complexity of Depth-First Search in the worst-case scenario?

O(b^m) Signup and view all the answers

Which of the following statements about Depth-First Search is true?

DFS may miss solutions that are shallower. Signup and view all the answers

What is a key disadvantage of using Depth-First Search?

It may explore less optimal branches first. Signup and view all the answers

What does the space complexity of Depth-First Search depend on?

The length of the path from the initial state to the goal state. Signup and view all the answers

In what scenario might Depth-First Search fail to find a solution?

When the search space is infinite. Signup and view all the answers

Which of the following options reflects a limitation of Depth-First Search?

It can miss solutions entirely. Signup and view all the answers

Study Notes

Artificial Intelligence (AI) Advantages

AI excels at automating repetitive tasks like data entry, transaction processing, and manufacturing operations.
AI can improve public utilities with applications like self-driving cars, facial recognition, and natural language processing.
AI drives innovation in different fields, helping humans solve complex problems.
AI systems demonstrate high accuracy and reliability, reducing errors and increasing consistency.
AI is capable of high-speed processing and decision-making, enabling it to outperform humans in tasks like chess.
AI can be deployed in risky environments, like defusing bombs or exploring the ocean floor.

AI Disadvantages

Developing, deploying, and maintaining AI systems require substantial investments in hardware, algorithms, and data.

Long Short-Term Memory (LSTM)

LSTMs are used in speech recognition systems like Google Voice Search to accurately predict and recognize words by remembering the context of preceding words.

Generative Adversarial Networks (GANs)

E-GANs combine evolutionary algorithms with GANs to produce increasingly realistic data.

Theory of Mind

In this future stage of AI, machines will interact with human thoughts and emotions.
Current AI can mimic some aspects of Theory of Mind, such as self-driving cars, but they lack true emotional understanding.

Self-Aware

This hypothetical stage of AI imagines a self-aware intelligence beyond human capabilities.

Sensors

Sensors measure properties like force, pressure, position, temperature, and acceleration.
They detect changes in the environment and send information to other electronic devices.

Actuators

Actuators convert energy into motion and control movement within a system.

Depth-First Search (DFS)

DFS explores as deeply as possible along one path before backtracking.
Advantages: Memory efficient, generally faster than Breadth-First Search (BFS).
Disadvantages: Not guaranteed to find the shortest path, can get stuck in infinite loops, not complete.
Time complexity: O(b^m) where b is the branching factor and m is the depth.

Depth-Limited Search

Depth-Limited Search (DLS) imposes a limit on the depth of exploration to address the issue of infinite paths in DFS.
Advantages: Memory efficient.
Disadvantages: Incomplete, may not be optimal.
Time complexity: O(b^l) where b is the branching factor and l is the depth limit.

Bidirectional Search

Bidirectional Search runs two simultaneous searches, one from the initial state and one from the goal state, to find the intersection point, which represents the solution.
Advantages: Fast, less memory intensive.
Disadvantages: Implementation can be complex, requires knowledge of the goal state.
Time complexity: O(b^(m/2)) when using BFS, O(b^m) when using DFS.

Priority Queue

A priority queue is an extension of a normal queue where each element has a priority value.
Elements with higher priority are served first.
Elements with the same priority are served on a first-come, first-served basis.

Uniform Cost Search

Uniform Cost Search finds the minimum cost path from the source to the destination in a weighted graph.
It uses a brute force approach, visiting nodes based on their current weight and exploring all possible paths.
Uses a Boolean array visited and a priority queue to track the minimum cost path.

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Description

Explore the various advantages and disadvantages of Artificial Intelligence (AI). Discover how AI excels in automation, innovation, and accuracy while understanding the substantial investments required for its development and maintenance.