PRACTICE QUIZ

While AI can involve simulation or imitation of intelligent human behavior, it is not solely about machines having human intelligence. It also involves machines augmenting human intelligence by extending human capabilities.

Strong or Generalized AI can perform independent tasks and teach itself new strategies to solve new problems.

AI is the fusion of all of these fields of study, and more. While Philosophy provides guidance on intelligence and ethical considerations in the application of AI, Mathematics and Statistics help determine viable learning models and measure performance.

In Healthcare, while AI is being used to support doctors arrive at more accurate preliminary diagnoses, it is not yet being used to replace one-on-one interactions between doctors and patients.

The Natural Language Processing and Natural Language Generation capabilities of AI make it possible for machines and humans to interact with each other using natural language. Examples of this include Watson, Alexa, Siri, Cortana, and Google Assistant.

Computer vision algorithms are helping doctors arrive at more accurate preliminary diagnoses. AI-powered advancements in this technology make it possible to find symptoms in X-Ray and MRI scans and even detect cancerous moles in skin images.

Collaborative robots being used in homes to support us in our personal tasks such doing laundry independently is certainly a future possibility but not yet a reality.

The app that uses machine learning algorithms trained on previous diagnosis data to suggest diagnosis and assist the physician in their findings is very much an application of AI.

AI learns by examining examples to create machine learning models based on provided inputs and desired goals. And it does this in three different ways - Supervised, Unsupervised, and Reinforcement Learning.

AI learns by examining examples to create machine learning models based on provided inputs and desired goals. And it does this in three different ways - Supervised, Unsupervised, and Reinforcement Learning.

Weak or Narrow AI is AI that is applied to a specific domain and can perform specific tasks. Explanation: Weak or Narrow AI is AI that can perform specific tasks in specific domains by making decisions based on programmed algorithms and training data.

Computer Vision is the reason self-driving cars can steer their way on streets and highways and avoid hitting obstacles. Explanation: Computer Vision make it possible to find symptoms in X-Ray and MRI scans and even detect cancerous moles in skin images.

In Healthcare, while AI is being used to support doctors arrive at more accurate preliminary diagnoses, it is not yet being used to make precise disease diagnoses independently.

Different movements of the human body correspond to specific parts of the brain that control these movements. By creating massive data sets of information of how people move and how that corresponds to different areas of the brain, AI-powered robots are able to trigger specific movements in the human body which in turn create new neural pathways in the brain.