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Uses of Artificial Intelligence

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Uses of Artificial Intelligence 'Artificial intelligence' is a process of making computers, robots or software that can think intellectually like a human mind. Artificial intelligence means intellectual ability developed in an artificial (artificial) manner. Through this, a computer system or robotic system is created, which is attempted to run on the same basis on which the human brain works. Artificial intelligence began in the 1950s. Artificial intelligence refers to the intelligence of machines. John McCarthy is considered the father of Artificial Intelligence. According to him, this is the intelligence displayed by machines, that is, the use of computers for the kind of work that is normally done by humans. Cars without drivers, 3D printers, electric drones, robotic surgery, ticket vending machines, security guards, robots, and Google voice to text are some vivid examples of artificial intelligence. Artificial intelligence is the fastest developing in today's world. Ma

Definition of Artificial Intelligence

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Definition of Artificial Intelligence Artificial intelligence is a process of making computers, robots or software that can think intellectually like a human brain. Artificial Intelligence began in the 1950s, Artificial Intelligence refers to the intellectual ability developed in an artificial way. Through this, a computer system or robotic system is created, which is attempted to run on the basis of the same logic on which the human brain works. In today's time, the invention of computers or machines is growing at a rapid pace. Today, the ability of computers and machines to perform various tasks is also increasing rapidly. Man has over time developed the power of computer systems in terms of their different working domains, their increasing speed and reducing size in relation to time. Artificial intelligence, a branch of computer science, attempts to create intelligent computers or machines similar to humans. According to John McCarthy, the father of Artificial Intelligence, it i

Artificial Intelligence (A.I.) and Machine Learning (M.L.)

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Artificial Intelligence (A.I.) and Machine Learning (M.L.) For the last few years, artificial intelligence has remained in equal discussion on various causes and issues. Artificial intelligence is a branch of computer science whose job is to make intelligent machines. Recently, the government think tank NITI Aayog and Google have agreed that both with the aim of promoting India's Artificial Intelliegence-AI and Machine Learning-ML ecosystem. They will work together on several initiatives, which will help to create an ecosystem of artificial intelligence in the country. NITI Aayog has been entrusted with the responsibility of developing technologies like AI and preparing national programs for research. On this responsibility, the NITI Aayog is developing a National Action Policy on Artificial Intelligence along with the National Data and Analytics Portal, so that it can be widely used. It may be noted that DeepMind, Google's artificial intelligence company, is working on several

What is a Neural Network? Complete Information.

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What is a Neural Network? Complete Information. Earth man is said to be the fastest and most sensible organism. Today, in this computer science era, we want to make the computer or any machine as much better as possible, even today, we have become capable that today our computer also gives commands automatically and its corresponding work Also does it himself. Neural network is also a type of information processing. It functions just like a human's brain, just as a human's brain processes information, this network also works. Definition of neural network Neural networks are interconnected / interrelated neurons. And the Artificial Neural Network is a computerized tool built on top of the neural network itself. Simply put, it is composed of a large number of interconnected neurons working in unison to solve specific problems. We also call artificial neural network as neural nets. Parallel distributed processing system, connectionist system is also a parallel term. Start of neura

What is deep learning? Meaning.

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What is deep learning? Meaning, work Deep learning is a sub-field of machine learning and an aspect of artificial intelligence. To understand this more easily, understand that it is meant to emulate the learning approach that humans use to acquire certain types of knowledge. This is somewhat different from machine learning, often people get confused in this and machine learning. Deep learning uses a sequencing algorithm while machine learning uses a linear algorithm. To understand it more accurately, understand this example that if a child is identified with a flower, then he will ask again and again, is this flower? For him, every colorful thing will be a flower, he will slowly index things according to the flowers and slowly he will know the flower. It develops over time. How does deep learning work?  Deep learning Each algorithm applies a non-linear transformation to its input and converts it into a statistical model from what it learns from the input. And it continues its effort un

How much artificial intelligence technology will work in the war against corona infection

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How much artificial intelligence technology will work in the war against corona infection AI used in corona epidemic It is comforting in the time of epidemic that Artificial Intelligence is also being used to make Corona medicine as soon as possible. In the initial months, the swab test was given more priority in India to prevent the virus from spreading. The results of this test may take two to five days. The corona virus spread more quickly in India due to the delay in results. However, Piyush Somani, CEO of ESDS Software Solutions, says that it can be detected in five minutes through X-rays and CT scans. He says, "AA Plus COVID-19 testing is based on artificial intelligence and machine learning. These tests can tell you within five minutes whether a person is corona infected. In testing for symptomatic and non-symptomatic corona infections The success rate of this separate and inexpensive rapid detection testing solution in government hospitals is around 98%. In cases where a p

Scientists have developed new technology, Alzheimer's will already know!

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Scientists have developed new technology, Alzheimer's will already know! Scientists have designed such artificial intelligence (AI or Artificial Intelligence) algorithm, which can be used to determine whether a person is at risk of Alzheimer's in the next five years due to lack of thinking and ability. One of these scientists is of Indian origin. Researchers at the University of Toronto in Canada have designed an algorithm that understands signals from magnetic resonance imaging (MRI), genetics, and clinical data. According to a research published in PLOS Computational Biology, 'The said algorithm can help in finding out if there is a possibility of Alzheimer's disease in the next five years due to the lack of understanding of the person'. Assistant professor at McGill University in Canada, Malar Chakraborty said, "Currently, there are limited methods of treating Alzheimer's and the best is prevention." The artificial intelligence process may have an i

The Real-World Benefits of Machine Learning in Healthcare

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The real-world benefits of machine learning in healthcare It is safe Medicine has many manual procedures. During the training, I hand wrote lab values, diagnoses, and other chart notes on paper. I always knew this was the place where technology could help improve my workflow and hopefully it also improves patient care. Since then, the progress of electronic medical records has been remarkable, but the information they provide is no better than replacing old paper charts. If technology is to improve care in the future, then the electronic information provided to doctors must be enhanced by the power of analytics and machine learning. Using these types of advanced analytics, we can provide better information to doctors on the point of patient care. With easy access to blood pressure and other important signals, I have seen my patients become regular and expectant. Imagine how much more useful it would be if I could read the last 500 blood pressure readings, laboratory test results, race,