We are all very close to Artificial intelligence. A.i. is used in movies, video games, online searches, and chat services. A.i. is all around us. (https://ai.google)
A.i. is in a bowl with deep learning and machine learning.
A.i. functions together with machine learning and deep learning. For example, they're uniform in spam recognition. A.i. initiates a watch on the suspected spam. Machine learning accurately tags the spam. Deep learning is the help chat bot that will discuss the effects of the spam.
A.i. learning is reactive. This type of learning has a relatively limited memory. A.i. learning possesses theory of mind, and self awareness.
Machine learning is the result of lightly supervised learning. Machine learning can be initiated from unsupervised learning, too. Machine learning has to be reinforced in the end of the process.
Deep learning is mostly decision making which requires large amounts of training data. The data has to emerge from high end systems. Deep learning is from provided data with end to end solving. "Deep Learning (DL) uses layers of algorithms to process data, understand human speech, and visually recognize objects. Information is passed through each layer, with the output of the previous layer providing input for the next layer. The first layer in a network is called the input layer, while the last is called an output layer. All the layers between the two are referred to as hidden layers. Each layer is typically a simple, uniform algorithm containing one kind of activation function(https://www.dataversity.net/)."
These systematic algorithms will play increasingly important roles in the future. A.i. will be able to predict crimes before they happen. There will be humanoid A.i. helpers. Machine learning is going to be a major part of increased healthcare efficiency. Machine learning will spawn better learning techniques. Deep learning will give us increased personalization, and hyper intelligent personal assistants.
These algorithms cannot match the true complexity of a neuron, in the human nervous system, but that is the goal. Growth of A.i., machine learning, and deep learning will be very interesting.
