Conduct factual research and select a real life currently operating private for-profit business or NGO that is using an AI application in its operations. This can be a publicly-traded company, a private business, or NGO that you personally know or work for or one that you are interested in. It is important that you can research and obtain the information you need about the company to complete this assignment.

Develop the following elements in your paper:

1. Name and describe the company; describe its industry and business. (Example, if you choose a grocery store chain business — the industry is retail; name the company, and in describing the company – include its size, location(s), and so forth)

2. Identify the AI application utilized by the company and its main subfield of AI. For example, is it NLP, deep learning, or another subfield of AI? (Likely more than one subfield will be involved. Identify the primary subfield. Refer to Week 2 Lesson.) In nontechnical terms, describe the AI application’s function.

3. Describe the AI’s operational role in your selected company.

4. Explain the benefits this AI application provides both the industry and your selected company in particular.

Instructions:

1. Structure your paper according to APA Style 7th Edition guidelines. (Refer to the APA Sample Student Paper in the APA Help materials in Classroom CONTENT/Overview & Introduction).

2. Use appropriate subheadings in organizing your paper. Follow the Word template attached to this Assignment. Also, The APA Sample Student Paper shows you how to set up subheadings.

3. Include an introduction & conclusion. Follow the Word template attached to this Assignment.

4. Length: 600-750 words (narrative text portion of paper). Do not include an abstract or other “extra” items- these will not count.

5. References: minimum of 3 credible sources. All sources on the References list must also be cited in the paper as in text citations.

6. Be original, concise, organized. Be sure to include all elements of the assign

Subsets of Artificial Intelligence

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Artificial Intelligence (AI) is a broad field that encompasses various technologies and methodologies aimed at creating machines capable of performing tasks that typically require human intelligence. Within AI, there are several subsets, each focusing on different aspects of AI research and applications.

Machine Learning (ML)

Machine Learning is a subset of AI that focuses on developing algorithms and models that enable computers to learn from data and improve their performance over time without explicit programming. ML can be further divided into:

· Supervised Learning: The model is trained on labeled data and learns to predict or classify new data based on patterns discovered from the labeled data 1 .

· Unsupervised Learning: The model is trained on unlabeled data and learns to identify patterns, relationships, or structures in the data without explicit instruction 2 .

· Reinforcement Learning: The model learns to make decisions or take actions to maximize a cumulative reward signal through trial and error 1 .

Deep Learning (DL)

Deep Learning is a subset of ML that focuses on neural networks, which are modeled after the human brain’s structure and function. DL algorithms automatically learn hierarchical representations of data from multiple layers of interconnected neurons. It is particularly successful in fields like image and speech recognition 1 2 .

Natural Language Processing (NLP)

NLP is a subset of AI that enables computers to understand, interpret, and generate human language. NLP techniques involve tasks such as text analysis, language understanding, machine translation, text generation, question answering, and dialogue systems 1 2 .

Expert Systems

Expert systems are AI programs that simulate the decision-making abilities of human experts in specific domains. They consist of a knowledge base, an inference engine, and a user interface. Expert systems are used in various industries for decision-making, diagnostics, and problem-solving 1 2 .

Robotics

Robotics is a field that involves the design, manufacture, and application of robots. AI enhances robotics by providing perception, planning, control, human-robot interaction, autonomous navigation, and medical robotics capabilities 1 2 .

Machine Vision

Machine Vision, also known as computer vision, enables machines to interpret and understand visual data from the real world. It involves tasks such as object detection, image segmentation, tracking, and 3D reconstruction. Machine vision is used in industries like manufacturing, healthcare, agriculture, and retail 1 2 .

Speech Recognition

Speech recognition technology allows computers to convert spoken words into written text. It involves processing and analyzing audio signals using algorithms and techniques to handle different languages, accents, and speaking styles. Applications include voice assistants, transcription services, and call center automation 1 2 .