ICT Knowledge

What is Artificial Intelligence?

• Artificial Intelligence is a type of food

• Artificial Intelligence is a type of plant

• Artificial Intelligence is a new fashion trend

• Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.

Explain the concept of Machine Learning.

• Machine Learning involves memorizing data and regurgitating it upon request.

• Machine Learning is a type of software that can only perform pre-defined tasks.

• Machine Learning is the process of teaching computers to think like humans.

• Machine Learning is the development of algorithms and statistical models that enable computers to learn and improve from experience without being explicitly programmed.

What are the different types of Artificial Intelligence?

• Basic AI, Advanced AI, Extreme AI

• Weak AI, Strong AI, Hyper AI

• Simple AI, Complex AI, Ultimate AI

• Narrow AI, General AI, Artificial Superintelligence

Give an example of a real-world application of Artificial Intelligence.

• Chatbots for customer service

• Smart refrigerators

• Autonomous vehicles

• Robotic vacuum cleaners

What is the role of neural networks in Machine Learning?

• Neural networks play a crucial role in pattern recognition and learning complex relationships in data.

• Neural networks are only used for simple tasks in Machine Learning.

• Neural networks are not capable of learning complex relationships in data.

• Neural networks are not relevant in the field of Machine Learning.

Discuss the importance of data in training Machine Learning models.

• Data has no impact on Machine Learning models

• Data is only needed for traditional programming, not for Machine Learning

• Models can perform well without any data

• Data helps in teaching the model patterns and relationships within the data, impacting the model's performance and accuracy.

What are the ethical considerations surrounding the use of Artificial Intelligence?

• Lack of innovation

• Inefficiency

• Over-reliance on technology

• Bias, privacy, accountability, transparency, job displacement, potential misuse

Explain the process of feature extraction in Machine Learning.

• Feature extraction involves only data visualization techniques

• Feature extraction is not necessary in Machine Learning

• The process of feature extraction includes steps such as data preprocessing, dimensionality reduction, and feature selection. Techniques like Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE), and Recursive Feature Elimination (RFE) are commonly used in this process.

• Feature extraction is a one-step process without any intermediate steps

How can Artificial Intelligence be used to improve healthcare?

• By analyzing medical data, personalizing treatment plans, assisting in diagnostics, predicting patient outcomes, and streamlining administrative tasks.

• By using AI to create new diseases

• By replacing human doctors with AI algorithms

• By teaching robots to perform surgeries

What are the different types of Artificial Intelligence?

• Basic AI, Advanced AI, Extreme AI

• Simple AI, Complex AI, Ultimate AI

• Weak AI, Strong AI, Hyper AI

• Narrow AI, General AI, Artificial Superintelligence