The document is a syllabus for an Artificial Intelligence unit taught by Surbhi Saroha. The syllabus covers an introduction to AI, the foundations and history of AI, applications of AI, intelligent agents, the structure of intelligent agents, computer vision, and natural language processing. It provides an overview of key concepts that will be examined in each topic area.

1. ARTIFICIAL INTELLIGENCE
UNIT 1
BY:SURBHI SAROHA
ASSISTANT PROFESSOR(CS)
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Surbhi Saroha

2. SYLLABUS
• Introduction to Artificial Intelligence
• Foundations and History of Artificial
intelligence
• Applications of Artificial intelligence
• Intelligent Agents
• Structure of Intelligent Agents
• Computer vision
• Natural Language Possessing.
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Surbhi Saroha

3. Artificial Intelligence
• Artificial intelligence (AI) refers to the
simulation of human intelligence in machines
that are programmed to think like humans and
mimic their actions.
• The term may also be applied to any machine
that exhibits traits associated with a human
mind such as learning and problem-solving.
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4. Foundations and History of Artificial
intelligence
• The concept of AI began around 1943 and
became a field of study in 1956 at Dartmouth.
• AI is not limited to the Computer Sciences
disciplines, but can be seen in countless
disciplines such as Mathematics, Philosophy,
Economics, Neuroscience, psychology and
various other areas.
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5. Applications of Artificial intelligence
• Ridesharing Apps Like Uber .
• Commercial Flights Use an AI Autopilot.
• Spam Filters.
• Smart Email Categorization.
• Plagiarism Checkers.
• Mobile Check Deposits.
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6. Intelligent Agents
• An intelligent agent is a program that can
make decisions or perform a service based on its
environment, user input and experiences.
• These programs can be used to autonomously
gather information on a regular, programmed
schedule or when prompted by the user in real
time.
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7. Structure of Intelligent Agents
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8. Computer vision
• Computer vision is a field of artificial intelligence
that trains computers to interpret and understand
the visual world.
• Using digital images from cameras and videos and
deep learning models, machines can accurately
identify and classify objects — and then react to
what they “see.”
• Computer vision is an interdisciplinary scientific
field that deals with how computers can gain high-
level understanding from digital images or videos.
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9. Natural Language Possessing
• Natural Language Processing (NLP) refers to AI method
of communicating with an intelligent systems using a
natural language such as English.
• Processing of Natural Language is required when you
want an intelligent system like robot to perform as per
your instructions, when you want to hear decision from a
dialogue based clinical expert system, etc.
• The field of NLP involves making computers to perform
useful tasks with the natural languages humans use. The
input and output of an NLP system can be −
• Speech
• Written Text
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