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Subfields of Artificial Intelligence Here, are some important subfields of Artificial Intelligence: Machine Learning: Machine learning is the art of studying algorithms that learn from examples and experiences. Machine learning is based on the idea that some patterns in the data were identified and used for future predictions. The difference from hardcoding rules is that the machine learns to find such rules. Deep Learning: Deep learning is a sub-field of machine learning. Deep learning does not mean the machine learns more in-depth knowledge; it uses different layers to learn from the data. The depth of the model is represented by the number of layers in the model. For instance, the Google LeNet model for image recognition counts 22 layers. Natural Language Processing: A neural network is a group of connected I/O units where each connection has a weight associated with its computer programs. It helps you to build predictive models from large databases. This model builds upon the human nervous system. You can use this model to conduct image understanding, human learning, computer speech, etc. Expert Systems: An expert system is an interactive and reliable computer-based decision-making system that uses facts and heuristics to solve complex decision-making problems. It is also considered at the highest level of human intelligence. The main goal of an expert system is to solve the most complex issues in a specific domain. Fuzzy Logic: Fuzzy Logic is defined as a many-valued logic form that may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth. In real life, we may encounter a situation where we can’t decide whether the statement is true or false.

Types of Artificial Intelligence There are three main types of artificial intelligence: rule-based, decision tree, and neural networks. Narrow AI is a type of AI that helps you perform a dedicated task with intelligence. General AI is a type of AI intelligence that can perform any intellectual task efficiently like a human. Rule-based AI is based on a set of pre-determined rules that are applied to an input data set. The system then produces a corresponding output. Decision tree AI is similar to rule-based AI in that it uses sets of pre-determined rules to make decisions. However, the decision tree also allows for branching and looping to consider different options. Super AI is a type of AI that allows computers to understand human language and respond in a natural way. Robot intelligence is a type of AI that allows robots to have complex cognitive abilities, including reasoning, planning, and learning.

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Goals of Artificial Intelligence Here are the main Goals of AI: ✅It helps you reduce the amount of time needed to perform specific tasks. ✅Making it easier for humans to interact with machines. ✅Facilitating human-computer interaction in a way that is more natural and efficient. ✅Improving the accuracy and speed of medical diagnoses. ✅Helping people learn new information more quickly. ✅Enhancing communication between humans and machines.

1964 Danny Bobrow’s dissertation at MIT showed how computers could understand natural language. 1969 Scientists at Stanford Research Institute Developed Shakey. A robot equipped with locomotion and problem-solving. 1979 The world’s first computer-controlled autonomous vehicle, Stanford Cart, was built. 1990 Significant demonstrations in machine learning 1997 The Deep Blue Chess Program beat the then world chess champion, Garry Kasparov. 2000 Interactive robot pets have become commercially available. MIT displays Kismet, a robot with a face that expresses emotions. 2006 AI came into the Business world in the year 2006. Companies like Facebook, Netflix, Twitter started using AI. 2012 Google has launched an Android app feature called “Google now”, which provides the user with a prediction. 2018 The “Project Debater” from IBM debated complex topics with two master debaters and performed exceptionally well.

1943: Foundations for neural networks laid. 1945 Isaac Asimov, a Columbia University alumni, use the term Robotics. 1956 John McCarthy first used the term Artificial Intelligence. Demonstration of the first running AI program at Carnegie Mellon University.