WEBVTT

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Let's explore some practical applications.

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Voice Assistance, example Siri, Alexa, Google Assistant.

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These voice assistants employ AI models with neural networks

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to understand and respond to human speech.

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They help with tasks like setting reminders, answering questions,

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and controlling smart home devices.

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Social media feed, algorithms, deep learning algorithms,

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analyze your social media activity to curate personalized content in your feed,

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tailoring it to your interests for a more engaging experience.

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Smart email sorting

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Email platforms use neural networks to categorize and prioritize your emails,

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highlighting important ones, and filtering out spam to streamline inbox management.

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Predictive text

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Example smart keyboards

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Neural networks predict the next word you're likely to type based on context,

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making typing faster and more efficient on smartphones.

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Online shopping recommendations

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e-commerce platforms employ deep learning to analyze your preferences

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and suggest products, providing personalized recommendations for a tailored shopping experience.

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Facial recognition on smartphones

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Deep learning enables accurate facial recognition for unlocking devices,

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enhancing security, and user experience on smartphones.

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Health and fitness apps

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Apps use machine learning to provide personalized workout and health advice,

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helping users achieve fitness goals with tailored guidance based on their health data.

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Language translation apps

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AI models

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Process language nuances for accurate translations, enabling seamless communication

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and breaking language barriers for travelers.

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Auto correct and grammar checking

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Neural networks enhance auto correct and grammar check features,

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improving writing accuracy and clarity in text messages and documents.

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Recommendation systems in streaming services.

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AI analyzes viewing habits to suggest movies and shows,

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delivering a customized entertainment experience with content tailored to user preferences.