AI Term of the Moment
AI reasoning model
Definition: machine learning
The predominant AI development method. In the 1980s, AI systems were programmed more like regular data processing applications (see if-then-else). Today, AI systems use machine learning to "learn by example," which means they are trained on data and in some cases, all the human knowledge available over the Internet (see AI training).
The Deep Learning Neural Network
Machine learning is generally implemented in a neural network. However, along with expert systems, other methods were used in the past (see AI types). A "deep learning" model is a neural network with many layers, and the more layers, the "deeper" the learning. For now, transformers are the most advanced neural network architecture (see AI transformer). See neural network and deep learning.
Pattern Recognition
Machine learning is essentially learning patterns. It is used in many AI applications including chatbots, face and voice recognition, medical diagnosis, ad serving, spam filtering and sales forecasting. Today's virtual assistants and chatbots are also the result of machine learning. As more samples become available and more fine tuning is applied, the final AI model becomes more dependable. See AI training vs. inference.
The Hierarchy
Well Said
The Deep Learning Neural Network
Machine learning is generally implemented in a neural network. However, along with expert systems, other methods were used in the past (see AI types). A "deep learning" model is a neural network with many layers, and the more layers, the "deeper" the learning. For now, transformers are the most advanced neural network architecture (see AI transformer). See neural network and deep learning.
Pattern Recognition
Machine learning is essentially learning patterns. It is used in many AI applications including chatbots, face and voice recognition, medical diagnosis, ad serving, spam filtering and sales forecasting. Today's virtual assistants and chatbots are also the result of machine learning. As more samples become available and more fine tuning is applied, the final AI model becomes more dependable. See AI training vs. inference.
Machine learning (ML) is a major category of AI. Approximately 80% to 90% of modern AI systems use machine learning models, and deep learning is the most advanced form.
This comparison of machine learning programming and traditional programming comes from Techopedia's "The Ultimate Guide to Applying AI in Business."