âēThe App provides a refreshing and motivating new synthesis of the field of Artificial Intelligence: A New Synthesis takes the user on a complete tour of this intriguing new world of AI.â´
âēArtificial Intelligence is the study of how to build or program computers to enable them to do what minds can do.âĻ
âēGenerate Images Using Artificial Intelligence Models within this Appsâ´
âēClear your doubts and enhance your Intelligence with the Built-in AI Chat Feature in the App â´
âēAccess Newly Introduced Generative AI Tools for your accelerated Productivity
âē Major theoretical approaches are outlined, as well as some recent developments. This App is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.âĻ
ãTopics Covered Listed Belowã
âģ Artificial Intelligence- Introduction
âģ Philosophy of AI
âģ Goals of AI
âģ What Contributes to AI?
âģ Programming Without and With AI
âģ What is AI Technique?
âģ Applications of AI
âģ History of AI
âģ What is Intelligence?
âģ Types of Intelligence
âģ What is Intelligence Composed of?
âģ Difference between Human and Machine Intelligence
âģ Artificial Intelligence - Research Areas
âģ Working of Speech and Voice Recognition Systems
âģ Real Life Applications of AI Research Areas
âģ Task Classification of AI
âģ What are Agent and Environment?
âģ Agent Terminology
âģ Rationality
âģ What is Ideal Rational Agent?
âģ The Structure of Intelligent Agents
âģ Nature of Environments
âģ Properties of Environment
âģ AI - Popular Search Algorithms
âģ Search Terminology
âģ Brute-Force Search Strategies
âģ Comparison of Various Algorithms Complexities
âģ Informed (Heuristic) Search Strategies
âģ Local Search Algorithms
âģ Simulated Annealing
âģ Travelling Salesman Problem
âģ Fuzzy Logic Systems
âģ Fuzzy Logic Systems Architecture
âģ Example of a Fuzzy Logic System
âģ Application Areas of Fuzzy Logic
âģ Advantages of FLSs
âģ Disadvantages of FLSs
âģ Natural Language Processing
âģ Components of NLP
âģ Difficulties in NLU
âģ NLP Terminology
âģ Steps in NLP
âģ Implementation Aspects of Syntactic Analysis
âģ Top-Down Parser
âģ Expert Systems
âģ Knowledge Base
âģ Inference Engine
âģ User Interface
âģ Expert Systems Limitations
âģ Applications of Expert System
âģ Expert System Technology
âģ Development of Expert Systems: General Steps
âģ Benefits of Expert Systems
âģ Robotics
âģ Difference in Robot System and Other AI Program
âģ Robot Locomotion
âģ Components of a Robot
âģ Computer Vision
âģ Application Domains of Computer Vision
âģ Applications of Robotics
âģ Neural Networks
âģ Types of Artificial Neural Networks
âģ Working of ANNs
âģ Machine Learning in ANNs
âģ Bayesian Networks (BN)
âģ Building a Bayesian Network
âģ Applications of Neural Networks
âģ AI - Issues
âģ A I- Terminology
âģ Intelligent System for Controlling a Three-Phase Active Filter
âģ Comparison Study of AI-based Methods in Wind Energy
âģ Fuzzy Logic Control of Switched Reluctance Motor Drives
âģ Advantages of Fuzzy Control While Dealing with Complex/Unknown Model Dynamics: A Quadcopter Example
âģ Retrieval of Optical Constant and Particle Size Distribution of Particulate Media Using the PSO-Based Neural Network Algorithm
âģ A Novel Artificial Organic Controller with Hermite Optical Flow Feedback for Mobile Robot Navigation
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