| json_metadata | "{"app":"musing/1.1","appTags":["Question"],"appCategory":"Question","appTitle":"Do you actually trust artificial intelligence?","appBody":"<p>my answer is yes. Artificial intelligence is intelligence that is added by humans into a technological system, regulated and developed in a scientific context, formed from the intelligence of scientific entities that exist.</p><p>The following is the definition of artificial intelligence according to experts:</p><p>John McCarthy, 1956</p><p>Artificial intelligence is an attempt to model the process of thinking of humans and designing machines in order to mimic human behavior.</p><p>Herbert Simon, 1987</p><p>Artificial intelligence is a place for research, application and instruction related to computer programming in doing things that are in the human view ⎼ intelligent.</p><p>Rich and Knight, 1991</p><p>Artificial intelligence is a study of how to make computers capable of doing things that at this time can still be done better by humans.</p><p>Note:</p><p>So basically the definition of AI can continue to be developed, but the main point is how humans create technology that is capable of thinking like humans themselves. What are some examples of artificial intelligence? Check out more!</p><p>Types of Artificial Intelligence</p><p>AI is not merely a robot that resembles a human. You need to know what types of technology are classified as AI. Basically, there are 3 types, namely:</p><p>- Symbol-manipulating AI</p><p>This AI works with abstract symbols. Symbol-manipulating AI is one of the most experimental types. The core of his experiment is that humans are reconstructed at a hierarchical and logical level. The information is processed from above, then works with human-readable symbols / the developer, the connections are abstract and the conclusions are logical.</p><p>- Neural AI</p><p>This type of AI was very popular among computer scientists in the late 80s. With Neural AI, knowledge is not represented by symbols, but rather on artificial neurons and their connections a kind of reconstructed brain. Knowledge collected will then be broken down into small parts (called neurons) and then connected and built into groups. Well, this approach is known as the bottom-up method that works from below. Unlike the AI Symbol-manipulating I first explained. So, the nervous system must be trained and stimulated so that neural networks can gather experience and grow in order to gather greater knowledge.</p><p>- Neural Networks</p><p>Neural Networks are arranged into layers that are connected to each other through simulation. The top layer is the input layer, which functions like a sensor. The sensor in question is the recipient of information that will process and forward it to the system. There are at least two systems - or more than twenty layers in large systems - layers arranged hierarchically. The layers that send and classify information through a connection. At the bottom is the output layer, which generally has the least number of artificial neurons.</p><p>Do you have trouble understanding it? The author will provide a simple explanation:</p><p>In essence, the workings of AI are based on the foundation of machine learning. What is the meaning of machine learning? That is, a system builds knowledge from experience. Well, that process makes the system have the ability to detect patterns and rules, quickly and accurately.</p>","appDepth":2,"appParentPermlink":"pk59w4tzw","appParentAuthor":"tabontabon","musingAppId":"aU2p3C3a8N","musingAppVersion":"1.1","musingPostType":"answer"}" |
|---|
hiveblocks