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1. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING KMBB COLLEGE OF ENGINEERING AND TECHNOLOGY PRESENTED BY :- SATYAJIT ROUTARAY REGD NO :-2201329058 BRANCH:- CSE SEM :-7TH

2. CONTEXT :- WHAT IS AIML HOW IT WORKS FOUNDATION OF AIML AGENT INTELLIGENT AGENT SEARCH ALGORITHM IN AI ADVANTAGES DISADVANTAGES

3. WHAT IS ARTIFICIAL INTELIIGENCE AND MACHINCE LEARNING ? Artificial intelligence (AI) is a broad concept, while machine learning (ML) is a specific type of AI. AI is the ability of machines to mimic human thought and behavior, while ML is the process of teaching machines to learn from data. 

4. How it works ? AIML together makes a machine more effective and smarter. The bennifits we get are--- INCREASES OPERATIONAL EFFICENCY MAKES BETTER FASTER DECISION S OBTAINS MORE SOURCES OF DATA IN PUT

5. Foundation of Aiml :- The foundation of aiml is based on ideas, viewpoint, and technique. The contributed are – Philosophy - it defines that how can the formal rules be used to draw valid condition. Economics - deals with investing the amount of money and maximization of utility with minimal investment Mathematics and statistics - it is important for proving theorems, Writing algorithms etc for solving mathematical problem .

6. Phycology / Cognitive science- the science method to the study of human vision like problem solving skills, how do human behave etc. Control theory- help the system to analyse define debug and fix errors itself. Linguistics- it is way to talk with a machine and basis of that command the machine can perform the work.

7. AGENT IN AIML :- An AGENT perceives its environment through sensors and acts upon it through effectors. Human agent uses eyes, ears, nose, toungue and skin as sensors and hands, legs and mouth as effectors. A robotic agent uses cameras and infrared range finders as sensors and motors and actuators as effectors.

8. Intelligent agents :- Intelligent agents are systems that perceive their environment and take actions to achieve specific goals . They can learn from their experiences, adapt to new situations and make decisions based on their percept and knowledge. They are designed to perform tasks autonomously and improve their performance over time .

9. SEARCH ALGORITHM IN AI :- Basically there are 2 types of search algorithm- UN-INFORM SEARCH- These types of search perform their search without information and are also called blind search. INFORM SAERCH- These types of search perform their search with information and are also called heuristic search.

10. INDUSTRY AND SMART CITES :- In industry the ai detects machine failures before they happen. Self-driving cars like TESLA , WAYMO ETC TESLA uses ai for controlling the machines and detecting the surrounding features by the command of the user of machine. In cities ai provides many helpful ways. Like in hospitals it helps to detect diseases like cancer , heart conditions. In industry aiml finds its way in security also by providing camera sensors , fingerprint detect machines.

11. AIML IN SOCIAL AND MARKETING :- AI chat bots and virtual assistance handle inquiries. EG- ChatGPT, Alexa, Siri Banks uses ML to identify suspicious transactions like fraud detection . Aiml is used in making of gaming characters more enhanced with computer grapics such as lighting, shadow etc. Aiml analyses user behaviour to show relevant ads.

12. DISADVANTAGES OF AIML :- AI can replace humans in many tasks, which could lead to unemployment. Ai is based on past data cant work creativity like humans. High cost requires in dveloping of machines and robots.