AI or Artificial Intelligence works by effectively combining high volumes of data using intelligent and quick algorithms with iterative processing and thereby allowing itself to self-learn automatically from the characteristics of such data.
The applications and advantages of AI (Artificial Intelligence) are vast and involves many technologies and methods thereby. Here are some of the important subfields of AI:
Machine Learning
Machine learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Neural Network
A neural network may be described as a type of machine learning process that involves units that are interconnected like neurons and process data by responding to respective external inputs and relay this information between each unit. This process analyzes data multiple times to find associations and give meaning to such undefined data and thus is an integral part of Artificial Intelligence.
Deep Learning
Deep learning is that part of artificial intelligence that applies large neural networks with multiple stages of processing units to compute complex data and learn intricate data patterns using enhanced computing techniques. Some simple applications of deep learning include image recognition and speech recognition.
Cognitive Computing
Cognitive computing is another important part of Artificial Intelligence or AI to make human-like interactions with machines possible. Cognitive computing and artificial intelligence together strive to enable machines to simulate human-like behaviour and processing, like the capability to interpret speech or images and then give a logical response respectively.
Natural Language Processing (NLP)
NLP or Natural Language Processing is the capability of computers to interpret, recognise and produce human language and speech. The ultimate goal of NLP and AI is to communicate with machines (computers) using a natural or regular language to accomplish tasks.
Computer Vision
Computer vision is a technique that implements deep learning an pattern identification to interpret the content of an image or a video. Thus computer vision is an integral field of Artificial Intelligence to enable computers to identify, interpret and process the image and video data sets as needed.
Supporting technologies for Artificial Intelligence or AI:
GPUs or Graphical Processing Units and a key contributor to AI as they enable the heavy computing which is a must for such interactive data processing.
IoT or Internet of Things produces enormous amounts of unanalysed data from connected devices and automating the processing of such data using AI will enable us to make the most of it.
Intelligent data processing is being optimised using advanced algorithms for faster multi-level analysis of data. This is the solution to predict rare events, comprehending systems and unique situations.
Using APIs or Application Processing Interfaces, it is possible to add an AI or artificial intelligence functionality to an existing product or software. This helps enables a software to deliver human-like interactions to provide targeted support for certain tasks.
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