AI Application Domains

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Questions and Answers

Explain the role of feature extraction in computer vision and how it contributes to object classification, referencing the hierarchy of features used in this process.

Feature extraction identifies key characteristics (edges, lines, shapes) in an image. A hierarchy of features then classifies objects based on these characteristics.

Describe how AI-driven handwriting recognition systems integrate image recognition and natural language processing (NLP) to convert handwritten text into digital text.

Image recognition detects the handwritten characters in the image while NLP uses language models to interpret and convert the characters into digital text.

Discuss the challenges and solutions in enabling robots to interact with the physical world using sensors and actuators, emphasizing the role of AI in enhancing their autonomy.

Challenges include interpreting sensory data and translating it into actions. AI enhances autonomy by enabling robots to learn and adapt their actions based on environmental feedback.

How do word embeddings in Natural Language Processing (NLP) help computers understand relationships between words?

Word embeddings represent words as vectors in a high-dimensional space, where words with similar meanings are located closer to each other. Signup and view all the answers

What are the core steps involved in text analytics, and how do these steps contribute to converting unstructured textual data into a structured format suitable for model training?

Segmentation, stemming, and feature identification are core steps. These transform raw text into structured data by breaking it down, normalizing words, and identifying relevant features. Signup and view all the answers

Explain how autonomous cars use computer vision to navigate their environment, track objects, and react to dynamic conditions in real-time. How feature detection is useful in the task?

Autonomous cars use camera to track surrounding objects. Feature detection helps the car detect objects like other vehicles, traffic lights, and pedestrians, allowing it to make complex driving decisions. Signup and view all the answers

Discuss the role of Acoustic Models and Language Models in Speech-to-Text (STT) systems. How do these models work together to convert audio into written text?

Acoustic models convert audio into phonemes. Language models then interpret these phonemes in context to identify words and form coherent sentences. Signup and view all the answers

In the context of AI, how does the paradigm between 'robotics' and 'AI-controlled robots' differ? Provide a use case for each.

Robotics involves autonomous function but doesn't require human input after it's programmed, AI-controlled robots (bridge between robotics and AI) are run by AI programs. A non-AI example is a robot arm that picks and places, a AI-controlled example is a robot sorting fruits with computer vision. Signup and view all the answers

Describe the advantages and disadvantages of AI applications, particularly in terms of high availability, error reduction, and the potential loss of creativity.

AI offers high availability, error reduction and handles tasks faster. However, AI can have high maintenance costs, inability replicate humans and leads to loss of creativity. Signup and view all the answers

Explain how AI chatbots use natural language processing (NLP) to understand and respond to user requests. Include the steps of analyzing user's request and identifying intent and entities.

AI chatbots use NLP to understand the structure of sentences, analyze user prompts and identify/extract relevant information to answer a questions. Signup and view all the answers

Describe one of the AI application domains, state the technology behind the AI applied in that domain, and describe a product developed from that AI application domain.

Healthcare; Machine learning; IBM Watson Health. Computer Vision is an interesting Application Domain. It allows applications to recognize the human face and help to perform security checks. Computer vision captures a real object using a camera and digitizes it into digital image data. The digital information is processed into segments for feature extraction to do AI vision prediction. For example, Apple Siri uses the AI computer vision to register and unlock the phone for authentication. Signup and view all the answers

What AI application can be applied to improve safety in the construction industry by helping workers manage environmental hazards?

Wearable AI technology that monitors environmental conditions and provides real-time alerts. The AI computer vision can help to improve the situation. We can design a robot supervisor with AI computer vision. This robot supervisor will patrol the work area and look out for potential hazards. This robot supervisor is trained with AI to recognize all the different environments. Once detected it will identify the location and type of hazard, this information is immediately sent to all the construction workers in the area. Signup and view all the answers

What AI solution would you propose to help reduce the air-conditioning consumption cost in the International Exhibition and Entertainment Performance Building?

Implement a predictive analytics system using AI to optimize air-conditioning usage based on environmental conditions and occupancy levels. The sensor will provide feedback to regulate the aircon temperature to be resource-efficient. Very often the sensor needs time to respond and sense the temperature therefore it is cannot perform a good real-time update. We can use AI real-time vision to detect the attendants and count the estimated amount of people. Use this to predict the temperature and resources needed and update the aircon system. Similarly, the AI vision also can be used to monitor the outdoor function area to detect the ambient lighting and number of people present. Then it will predict the required intensity for the high-tech lighting system. Through AI vision monitoring it can help to achieve good prediction to control the power resources in turn aid in the cost-saving. Signup and view all the answers

What AI application can be used to improve customer service in online banking by providing personalized responses?

Chatbots The online or mobile apps need to be implemented using the NLP application domain. NLP allows the question to be understood as the whole context to give personalization and more specific answers to the customer query. AI Chatbot is a good example of the NLP application domain. The chatbot will understand the customer text into the intent of the customer and get the essential entity as data to search for the relevant answer for the customer. Signup and view all the answers

Flashcards

What is Computer Vision?

The AI application domain focused on enabling machines to interpret and understand visual data, like images and videos.

What is image recognition?

A computer's ability to interpret and categorize the information it receives through computer vision.

Computer vision feature hierarchy

Low-level features like edges, lines and dark spots contribute to features like eyes, ears and noses and finally to facial structures.