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  1. Asked: March 31, 2024In: Education

    What is Machine Learning (ML)?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:24 am

    Machine Learning is a subset of AI that involves the development of algorithms and statistical models that enable computers to learn from and make predictions based on data.

    Machine Learning is a subset of AI that involves the development of algorithms and statistical models that enable computers to learn from and make predictions based on data.

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  2. Asked: March 31, 2024In: Education

    What are some examples of General AI applications?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:23 am

    General AI applications include systems capable of performing tasks such as reasoning, learning, problem-solving, and understanding natural language in a human-like manner.

    General AI applications include systems capable of performing tasks such as reasoning, learning, problem-solving, and understanding natural language in a human-like manner.

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  3. Asked: March 31, 2024In: Education

    What are some examples of Narrow AI applications?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:23 am

    Examples of Narrow AI applications include virtual personal assistants, image recognition systems, recommendation systems, and autonomous vehicles.

    Examples of Narrow AI applications include virtual personal assistants, image recognition systems, recommendation systems, and autonomous vehicles.

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  4. Asked: March 31, 2024In: Education

    What is General AI?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:20 am

    General AI refers to AI systems that possess the ability to understand, learn, and apply intelligence across a wide range of tasks, similar to human intelligence.

    General AI refers to AI systems that possess the ability to understand, learn, and apply intelligence across a wide range of tasks, similar to human intelligence.

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  5. Asked: March 31, 2024In: Education

    What is Narrow AI?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:19 am

    Narrow AI refers to AI systems that are designed and trained for a specific task or set of tasks.

    Narrow AI refers to AI systems that are designed and trained for a specific task or set of tasks.

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  6. Asked: March 31, 2024In: Education

    What are the two main types of AI?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:18 am

    The two main types of AI are Narrow AI (Weak AI) and General AI (Strong AI).

    The two main types of AI are Narrow AI (Weak AI) and General AI (Strong AI).

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  7. Asked: March 31, 2024In: Education

    What are the main goals of AI?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:11 am

    The main goals of AI include reasoning, learning, perception, problem-solving, and natural language processing.

    The main goals of AI include reasoning, learning, perception, problem-solving, and natural language processing.

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  8. Asked: March 31, 2024In: Education

    What is Artificial Intelligence (AI)?

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 11:11 am

    AI is the simulation of human intelligence processes by machines, especially computer systems.

    AI is the simulation of human intelligence processes by machines, especially computer systems.

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  9. Asked: March 29, 2024In: Education

    What algorithm youtube uses to refer shorts video

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 10:58 am

    While YouTube has not disclosed specific details about the algorithm used to recommend Shorts videos, it's likely that they use a combination of machine learning algorithms and techniques similar to those used for recommending regular videos. Here are some components that could be involved: Content-Read more

    While YouTube has not disclosed specific details about the algorithm used to recommend Shorts videos, it’s likely that they use a combination of machine learning algorithms and techniques similar to those used for recommending regular videos. Here are some components that could be involved:

    Content-based Filtering: YouTube may analyze the content of Shorts videos, including visual elements, audio, and text overlays, to understand the context and themes of each video. This analysis can help determine the relevance of Shorts videos to user preferences.

    User Engagement Signals: YouTube considers various user engagement signals such as likes, dislikes, comments, shares, and watch time to assess the quality and popularity of Shorts videos. Videos with high engagement rates are more likely to be recommended to users.

    Watch History and Preferences: YouTube takes into account a user’s watch history, search queries, and interactions with previous Shorts videos to personalize recommendations. If a user has shown interest in similar content in the past, YouTube may suggest related Shorts videos.

    Contextual and Trending Signals: YouTube may also consider contextual factors such as the time of day, location, device type, and trending topics to surface relevant Shorts videos that are popular or timely.

    Similarity and Diversity: YouTube aims to provide a diverse range of content to users while ensuring relevance. The algorithm may balance recommendations between similar Shorts videos to maintain user interest and introduce diversity in content.

    A/B Testing and Optimization: YouTube continuously experiments with different recommendation strategies through A/B testing to assess the effectiveness of various algorithms and parameters. This iterative process helps optimize the recommendation system over time.

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  10. Asked: March 29, 2024In: Education

    Why the colour of sky is blue

    Vijay Kumar
    Vijay Kumar Knowledge Contributor
    Added an answer on March 31, 2024 at 10:52 am

    The blue color of the sky is primarily due to a phenomenon called Rayleigh scattering. Here's how it works: Rayleigh Scattering: When sunlight enters the Earth's atmosphere, it encounters gas molecules and other particles. These particles scatter sunlight in all directions, but the scattering is notRead more

    The blue color of the sky is primarily due to a phenomenon called Rayleigh scattering. Here’s how it works:

    Rayleigh Scattering: When sunlight enters the Earth’s atmosphere, it encounters gas molecules and other particles. These particles scatter sunlight in all directions, but the scattering is not uniform for all wavelengths of light. Instead, shorter wavelengths (blue and violet) of visible light are scattered more efficiently than longer wavelengths (red and orange).

    Shorter Wavelengths Scattered More: The reason shorter wavelengths are scattered more efficiently is because their interaction with gas molecules and particles is more pronounced due to their smaller size. As sunlight passes through the atmosphere, the shorter blue and violet wavelengths are scattered in all directions by gas molecules and particles in the atmosphere.

    Dominance of Blue Light: Since blue light is scattered more effectively, it tends to be scattered in all directions, including downward towards the Earth’s surface. This leads to a higher concentration of blue light reaching our eyes from all directions, giving the sky its characteristic blue appearance.

    Angle Dependency: The intensity of Rayleigh scattering varies with the angle of the sunlight. When the sun is directly overhead (near zenith), the path through the atmosphere is shorter, and the blue light scattered from overhead reaches our eyes more directly, intensifying the blue color of the sky. At sunrise and sunset, when the sunlight has to pass through a thicker layer of atmosphere, more of the shorter blue wavelengths are scattered away, leading to the reddish hues observed during these times.

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