{"id":5501,"date":"2020-07-14T14:05:08","date_gmt":"2020-07-14T07:05:08","guid":{"rendered":"https:\/\/bap-software.net\/?post_type=knowledge&p=5501"},"modified":"2025-06-05T10:17:14","modified_gmt":"2025-06-05T03:17:14","slug":"artificial-intelligence-machine-learning","status":"publish","type":"knowledge","link":"https:\/\/bap-software.net\/en\/knowledge\/artificial-intelligence-machine-learning\/","title":{"rendered":"Difference among Artificial intelligence, machine learning and Deep leaning"},"content":{"rendered":"

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are three concepts that frequently appear in the digital era, yet many people still confuse them. In essence, AI is a broad concept that refers to systems capable of simulating human intelligence. Machine Learning is a subset of AI that enables machines to learn from data and make predictions or decisions. Deep Learning, a more advanced form of Machine Learning, uses deep neural networks to process complex data with high accuracy. This article will help you clearly and simply understand the differences among these three technologies.<\/em><\/p>\n

1. Explosion of Artificial Intelligence<\/strong><\/h2>\n
\"Artificial

AI technology – source: CRN<\/p><\/div>\n

As of AI, this is considered as a part of humans\u2019 imagination and has been also the main discussed topic in various labs since the Dartmouth Conference in 1956 happened.<\/p>\n

In recent years, AI<\/a> really booms across the globe, it brings many benefits from GPU that helps programmers can process faster, cheaper, and stronger. Also, it relates to unlimited storage, or data in Big Data including image processing, texting, trading,…<\/p>\n

AI can be defined as a sector of computer science, and it is based on theories that can apply in this field. Understandably, AI is machines\u2019 intelligence created by humans, and it can rack the brain, think, copy like humans. And it processes the data more scalably, systematically, scientifically than humans.<\/p>\n

However, we still cannot make use of the AI that we just conduct with Narrow AI, and it is still unable to complete the Turing test.<\/p>\n

So how AI technology<\/a> can work, and take action as humans? Where the intelligence come from? We should explore the machine learning concept below.<\/p>\n

2. What is machine learning?\u00a0<\/strong><\/h2>\n

 <\/p>\n

\"What

Machine learning technology – Source: Becominghuman<\/p><\/div>\n

As a part of AI\u2019s approach, machine learning is related to a system of machine that will be better when it conducts the jobs many times. In other words, ability of machine learning is to use the algorithm in order to analyze the available information, and learn from that to make decisions or predictions about the related problems.<\/p>\n

Furthermore, instead of creating a software program with many actions, detailed guidance to conduct the specific mission, computers are trained by using the amount of data, and algorithms to learn to conduct tasks.<\/p>\n

Without machine learning, AI will be restricted because it is a source of energy for computers to find out everything that doesn\u2019t need to be programmed clearly.<\/p>\n

For instance, you want to have a program that can identify cat in the picture, you must:<\/p>\n