Question 1

Which AI program developed by DeepMind famously defeated world champion Lee Sedol in the complex board game of Go in 2016?

Accepted Answer

AlphaGo

Question 2

What subfield of AI enables computers to "see," interpret, and understand visual information from images and videos?

Accepted Answer

Computer Vision

Question 3

What is a significant ethical concern in AI where algorithms learn and perpetuate unfair or discriminatory patterns from biased training data?

Accepted Answer

Algorithmic Bias

Question 4

In early AI, what type of system was designed to mimic the decision-making ability of a human expert, often using a knowledge base and inference engine?

Accepted Answer

Expert System

Question 5

Current AI systems, such as facial recognition or recommendation engines, are classified as what type of AI, capable of performing only specific, well-defined tasks?

Accepted Answer

Artificial Narrow Intelligence (ANI)

Question 6

What is the common optimization algorithm used in machine learning to minimize the cost function by iteratively moving in the direction of the steepest descent?

Accepted Answer

Gradient Descent

Question 7

What is the name of the fundamental algorithm used to train artificial neural networks by iteratively adjusting the weights of connections based on the error rate of the output?

Accepted Answer

Backpropagation

Question 8

What advanced deep learning architecture involves two neural networks, a generator and a discriminator, competing against each other to create realistic synthetic data?

Accepted Answer

Generative Adversarial Network (GAN)

Question 9

Which early approach to AI, sometimes called "Good Old-Fashioned AI (GOFAI)," primarily focused on representing human knowledge using symbols and rules, rather than statistical learning from data?

Accepted Answer

Symbolic AI

Question 10

Which type of neural network is particularly well-suited for processing sequential data, such as natural language or time series, due to its ability to maintain an internal "memory" of previous inputs?

Accepted Answer

Recurrent Neural Network (RNN)

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