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Artificial Intelligence overview

This presentation provides an overview of the Artificial Intelligence. The simulation of human intelligence processes by machines, especially computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are some examples of specific AI applications. Learn Artificial Intelligence with this complete and concise guide. The best artificial intelligence online course is offered by CETPA Infotech. We offer hands-on, project-based training.

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Artificial Intelligence overview

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  1. A quick information guide on ARTIFICIAL INTELLIGENCE CONTACT US CETPA INFOTECH PVT. LTD. D-58, Near Red FM, Sector 2, Noida, Uttar Pradesh, 201301 9212172602

  2. What is Artificial Intelligence? CONTENTS • Applications of Artificial Intelligence • Types of Artificial Intelligence • Most In-Demand AI Skills

  3. WHAT IS ARTIFICIAL INTELLIGENCE? • The simulation of human intelligence processes by machines, especially computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, and machine vision are some examples of specific AI applications. • Artificial intelligence aims to improve learning, reasoning, and perception through computers.

  4. Applications of Artificial Intelligence • AI in Agriculture: Defects and nutrient shortages in the soil are found using artificial intelligence. AI can determine where weeds are growing by using computer vision, robotics, and machine learning technologies. AI bots can harvest crops more quickly and in greater quantities than human employees. • AI in E-Commerce: Recommendation engines, which help you interact with your consumers more effectively, are made possible by artificial intelligence technology. According to their browsing history, preferences, and interests, these recommendations are given. • AI in Education: Artificial intelligence can assist educators with non-educational tasks like managing enrollment, courses, and HR-related matters, as well as task-related responsibilities like facilitating and automating personalised messages to students, back-office tasks like grading paperwork, planning and facilitating parent and guardian interactions, and routine issue feedback facilitation. • AI in Healthcare: Building advanced devices that can detect diseases and identify cancer cells uses AI applications. In order to ensure early diagnosis, artificial intelligence can assist in analysing chronic illnesses with lab and other medical data. AI employs a combination of medical knowledge and historical data to find new medications..

  5. REACTIVE MACHINE SELF-AWARE AI THEORY OF MIND LIMITED THEORY Types of Artificial Intelligence This AI, which could understand and evoke human emotions as well as have its own, is still only hypothetical. This AI is still being developed, with the goal of its having a very deep understanding of human minds. Artificial intelligence is classified into two main categories: AI that’s based on functionality and AI that’s based on capabilities. This AI has no memory power and does not have the ability to learn from past actions. IBM’s Deep Blue is in this category. With the addition of memory, this AI uses past information to make better decisions. Common applications like GPS location apps fall into this category. AI-based on functionality

  6. ARTIFICIAL GENERAL INTELLIGENCE ARTIFICIAL SUPER INTELLIGENCE ARTIFICIAL NARROW INTELLIGENCE Types of Artificial Intelligence This AI is capable of training, learning, understanding, and performing like a human. A system that performs narrowly defined programmed tasks. This AI has a combination of reactive and limited memory. Most of today’s AI applications are in this category. This AI performs tasks better than humans due to its superior data processing, memory, and decision-making abilities. No real-world examples exist today. AI-based on capabilities

  7. Most In-Demand AI Skills Programming Languages Neural Network Architecture Signal Processing Techniques Machine Learning Deep Learning Cluster Analysis Big Data and Distributed Computing

  8. THANKYOU

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