Factals Infotech Solutions_Artificial Intelligence.pptx

AI
Artificial Intelligence

1. Artificial Intelligence

2. AI is one of the fascinating and universal fields of Computer science which has a great scope in future. AI holds a tendency to cause a machine to work as a human. Artificial Intelligence is composed of two words  Artificial  and  Intelligence , where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power ." Introduction

3. Artificial intelligence (AI)  is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns. AI is an umbrella term that encompasses a wide variety of technologies, including  machine learning ,  deep learning , and  natural language processing (NLP) .   Definition

4. Narrow AI:  AI designed to complete very specific actions; unable to independently learn . Artificial General Intelligence:  AI designed to learn, think and perform at similar levels to humans. Artificial Super intelligence:   AI able to surpass the knowledge and capabilities of humans. Reactive Machine AI:  AI capable of responding to external stimuli in real time; unable to build memory or store information for future. Limited Memory AI:  AI that can store knowledge and use it to learn and train for future tasks. Theory of Mind AI:  AI that can sense and respond to human emotions, plus perform the tasks of limited memory machines. Self-Aware AI:  AI that can recognize others’ emotions, plus has sense of self and human-level intelligence; the final stage of AI. Types of AI

5. Learning  Learning is a very essential part of AI and it happens in a number of different forms. The simplest form of learning is by trial and error. In this form, the program remembers the section that has given the desired output and discards the other trial actions and learns by itself. Reasoning Reasoning is also called as logic or generating judgments from the given set of facts. The reasoning is carried out based on a strict rule of validity to perform a specified task. Reasoning can be of two types, deductive or inductive . Problem Solving   AI addresses a huge variety of problems. For example, finding out winning moves on the board games, planning actions in order to achieve the defined task, identifying various objects from given images, etc. Components of AI

6. AI Application

7. Natural language processing  (NLP) : NLP allows computers to understand and generate human language. This technology is used in a variety of applications, such as machine translation, spam filtering, and sentiment analysis . Computer vision : Computer vision allows computers to identify and interpret visual content. This technology is used in a variety of applications, such as self-driving cars, facial recognition, and object detection . Machine learning  (ML) : ML allows computers to learn from data and improve their performance over time. This technology is used in a variety of applications, such as predictive analytics, fraud detection, and recommendation systems. Robotics : Robotics is the branch of AI that deals with the design, construction, and operation of robots. Robots are used in a variety of applications, such as manufacturing, healthcare, and space exploration.

8. Challenges in AI Development

9. Future Trends

10. AI Driven Dynamic Operating Models AI and Cloud Adoption AI and ManTech (a combination of Marketing and Technology) Robotics process automation Conversational AI The intersection of the Internet of things with Artificial Intelligence ( AIoT ) Natural Language Processing AI powered business forecasting and Analysis Edge computing and so forth.