I Krishna Baheti, roll number: PA 36, PRN: 1032171351, would like to express my special thanks of gratitude to my Seminar Guide Mrs. Rashmi Phalnikar who gave me this wonderful opportunity to present to on the topic Cognitive Functions of Artificial Intelligence, under the domain Artificial Intelligence, which has helped me in doing a lot of research and gaining knowledge about the various topics.
I would also like to thank her for helping me with the completion of the project and for the support throughout.
Human beings possess intelligence and knowledge which enable them to conduct their daily lives with ease. There have been many attempts from researchers all around the world to invent such a technology through which the computers can actually behave like a human brain. Newell and Simon in 1955 presented the first AI program in front of the entire world.
With the passage of time AI developed rapidly and now can be classified under different approaches. The more knowledge AI gets, the more knowledge it has to more accurately estimate the recognition of a thing.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. AI is being tested and used in the healthcare industry treatment in patients, and for surgical procedures in the operating room. Other examples of machines with artificial intelligence include computers that play chess and self-driving cars.
The term ‘artificial intelligence’ is often used to highlight machines (or computers) that mimic “cognitive functions” that humans associate with the human brain, such as “attaining knowledge’ and ‘problem solving”.
The human brain has been the source of inspiration for the researchers of artificial intelligence (AI) for decades. The quest for recreating cognitive capabilities of the brain in deep neural networks remains one of the elusive objectives of AI. Theoretically, recreating human cognitive functions should be based on assembling of neural network architectures that simulate the neuronal connections powering those functions in the brain. While that statement sounds perfectly reasonable, it has proven to be an incredibly discouraging task considering that neuroscientists are still not able to understand the cognitive mechanism that powers the functions of our brains. Despite the challenges ahead, researchers are still concerned with more of AI research and implementation of algorithms that drew its inspiration from specific cognition mechanisms in brain.
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