Artificial Intelligence To Help People

Artificial Intelligence is not a new term and a new technology for researchers. Even though the history of Artificial Intelligence itself is much older than we imagine, History proves Artificial Intelligence has been the scope of research by experts even before the internet developed. Although the development of synthesis ai artificial intelligence in computer vision has only been felt massively in the last few years. Without realizing it, various applications today have utilized Artificial Intelligence technology. For example, opening a cellphone with Face ID features, advanced navigation on Google Maps, self-driving cars, and much more. They can also reason, observe and plan. The benefits of AI technology certainly improve the quality of human life, in other words, it can facilitate people’s daily lives.


For those of you who want to learn Artificial Intelligence, you need to know that Artificial Intelligence material is a broad field of study that includes many theories, methods, and technologies, as well as main sub-fields, namely Machine Learning, Neural Networks, Deep Learning, Computer Vision and Natural Language Processing. The concepts of Machine Learning and Deep Learning are often considered the same, even though they are two different things. Then, what are the differences between Machine Learning and Deep Learning?

Machine Learning is an applied branch of Artificial Intelligence (AI) that focuses on developing a system that can learn on its own without having to be repeatedly programmed by humans. But before removing a data result from object behavior, machine learning requires initial data as learning material. Fundamentally, how machine learning works is to learn like humans, by using examples and then only being able to answer a related question. The Machine Learning learning process uses data called train dataset. What are datasets? The dataset is a machine learning algorithm, this data acts as an input. In the Machine Learning method, an algorithm based on data is needed to produce a desired pattern or conclusion, Machine Learning is a machine that studies algorithms and statistics, to perform certain tasks without instructions.