Artificial Intelligence (AI) emphasizes the improvement of smart machines, wondering and working like humans. For example, AI is widely used in problem-solving, speech recognition, learning, and planning.
Artificial Intelligence is impacting the future of practically every industry and every human being. It has served as the primary driver of emerging technologies like robotics, big data, and IoT, and it will continue to work as a technological innovator for the foreseeable future.
The application of AI is commonly observed in these fields:
AI and Machine Learning are new emerging technologies that will lead to much innovation in the near future but both of these technologies are marked by various differences:
|ARTIFICIAL INTELLIGENCE||MACHINE LEARNING|
|AI stands for Artificial Intelligence, where intelligence is defined, acquisition of knowledge intelligence is defined as the ability to acquire and apply knowledge.||ML defined as the acquisition of knowledge or skill|
|AI increases the chance of success and not accuracy.||ML aims to increase accuracy, but it does not care about success.|
|It works like a computer program that does smart work||ML is a simple concept machine that takes data and learns from data.|
|Artificial intelligence simulate natural intelligence to solve the complex problem||ML’s goal is to learn from data on a particular task to maximize the performance of the device on this task.|
|AI is useful in decision making.||It allows the system to learn new things from data.|
|AI goes for finding the optimal solution.||ML involves creating self-learning algorithms.|
|It is developing a system that mimics humans, and which in turn responds to circumstances.||Machine Learning will go for the only solution for that whether it is optimal or not.|
|AI leads to intelligence or wisdom.||ML leads to knowledge.|
Application of artificial intelligence in healthcare:
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