Artificial intelligence (AI) is intelligence exhibited by machines. In computer science AI research is defined as the study of intelligent agents: any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term artificial intelligence is applied when a machine mimics cognitive functions that humans associate with other human minds, such as learning and problem solving. AI can be categorized into subfields that focus on specific problems or tasks, such as machine learning, perception, speech recognition, planning or robotic operating systems. General-purpose artificial intelligences are still hypothetical.

These modifications show up not only through new jobs replacing old ones but also from the transforming skill profile of existing jobs. Instead of an exam for the survival of the fittest, these days we are able to count on a workforce that's a combination of human and machine intelligence. If automation guarantees a smarter and more secure presence for us, there ought to be no reluctance in embracing it. The "M project" launched by Facebook is possibly a prime example of man-machine bonhomie. The project seamlessly blends robots and humans in a means that it gets unlikely for the conclusion user to determine whether they're talking with a machine or maybe a living person. Automation is short to challenge the fabric of the traditional employment scenario. I think there's a need to refine present policymaking to be able to endure this transition. Definitive actions like dedicated investments in human capital (early childhood development) and drawing social contracts that are applicable to the new era should have the center stage and ensure economic development through the workforce of effective members within the society. In a world of growing worldwide worth chains, gig economies, and the dynamism of work, just through acknowledging this particular paradigm shift can we view the truth of people and robots working together a lot more carefully than ever before.

Intelligence is the faculty of understanding Intelligence is not to make no mistakes but quickly to understand how to make them good (German Poet) 3. What Is Artificial Intelligence??? Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans. A.I is the study of ideas that enable computers to be intelligent 4. How Does AI Works?? Artificial intelligence works with the help of • Artificial Neurons (Artificial Neural Network) And • Scientific theorems(If- Then Statements, Logics) 5. What is Neural Networking?? Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts It reasons with knowledge of some specialist subject with a view to solving problems or giving advice They are tested by being placed in the same real world problem solving situation 12. Applications of Expert Systems PROSPECTOR: Used by geologists to identify sites for drilling or mining PUFF: Medical system for diagnosis of respiratory conditions 13. Applications of Expert Systems LITHIAN: Gives advice to archaeologists examining stone tools DENDRAL: Used to identify the structure of chemical compounds. First used in 1965 14. Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence.