{"id":4358,"date":"2022-05-24T14:08:27","date_gmt":"2022-05-24T06:08:27","guid":{"rendered":"https:\/\/ascendas-asia.com\/?page_id=4358"},"modified":"2022-05-27T10:28:13","modified_gmt":"2022-05-27T02:28:13","slug":"what-is-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/ascendas-asia.com\/vi\/resources\/what-is-artificial-intelligence\/","title":{"rendered":"What Is Artificial Intelligence?"},"content":{"rendered":"<h1 style=\"text-align: justify;\"><span style=\"color: #e67e23;\"> <strong>What Is Artificial Intelligence?<\/strong> <\/span><\/h1>\n<h5 class=\"add_margin_0\" style=\"text-align: justify;\"><em>3 things you need to know<\/em><\/h5>\n<p style=\"text-align: justify;\"><em><\/em><\/p>\n<p class=\"section_upsize add_font_futura_book\" style=\"text-align: justify;\"><span>Artificial intelligence, or AI, is a simulation of intelligent human behavior. It\u2019s a computer or system designed to perceive its environment, understand its behaviors, and take action. Consider self-driving cars: AI-driven systems like these integrate AI algorithms, such as machine learning and deep learning, into complex environments that enable automation.<\/span><\/p>\n<hr \/>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" name=\"howitworks\" style=\"text-align: justify;\"><\/h2>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" style=\"text-align: justify;\"><span style=\"color: #e67e23;\">Why does AI Matter?<\/span><\/h2>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" name=\"howitworks\" style=\"text-align: justify;\"><span style=\"color: #e67e23;\"><\/span><\/h2>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" name=\"howitworks\" dir=\"rtl\" style=\"text-align: justify;\"><span style=\"color: #e67e23;\"> <iframe loading=\"lazy\" width=\"560\" height=\"314\" src=\"https:\/\/www.youtube.com\/embed\/OhPp3qiZ_QU\" allowfullscreen=\"allowfullscreen\"><\/iframe> <\/span><\/h2>\n<div style=\"text-align: justify;\">\n<div class=\"text containsResourceName resourceClass-text\">\n<div class=\"mw-text\">\n<p>AI is estimated to create $13 trillion in economic value worldwide by 2030, according to a McKinsey forecast.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div style=\"text-align: justify;\">\n<div class=\"parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<p>That\u2019s because AI is transforming engineering in nearly every industry and application area.<\/p>\n<\/div>\n<\/div>\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<p>Beyond automated driving, AI is also used in models that predict machine failure, indicating when they will require maintenance; health and sensor analytics such as patient monitoring systems; and robotic systems that learn and improve directly from experience.<\/p>\n<hr \/>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" style=\"text-align: justify;\"><span style=\"color: #e67e23;\">Key Components to an AI Workflow<\/span><\/h2>\n<div class=\"caption\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<div class=\"caption\">\n<div class=\"text containsResourceName section resourceClass-text\" style=\"text-align: justify;\">\n<div class=\"mw-text\">\n<p>Success with AI requires more than training an AI model, especially in AI-driven systems that make decisions and take action. A solid AI workflow involves preparing the data, creating a model, designing the system on which the model will run, and deploying to hardware or enterprise systems.<\/p>\n<\/div>\n<\/div>\n<div class=\"cqImage containsResourceName section resourceClass-image\" style=\"text-align: justify;\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image.adapt.full.medium.svg\/1646287545944.svg\" alt=\"The steps in the AI workflow.\" title=\"The steps in the AI workflow.\" width=\"901\" height=\"78\" loading=\"lazy\" class=\"responsiveImage remove_border\" \/><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">The steps in the AI workflow.<\/span><span style=\"font-size: 8pt;\"><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h3 style=\"text-align: justify;\">Data Preparation<\/h3>\n<p style=\"text-align: justify;\">Taking raw data and making it useful for an accurate, efficient, and meaningful model is a critical step. In fact,<span>\u00a0<\/span><b>it represents most of your AI effort<\/b>.<\/p>\n<p style=\"text-align: justify;\"><b>Data preparation requires domain expertise<\/b>, such as experience in speech and audio signals, navigation and sensor fusion, image and video processing, and radar and lidar. Engineers in these fields are best suited to determine what the critical features of the data are, which are unimportant, and what rare events to consider.<\/p>\n<p style=\"text-align: justify;\">AI also involves prodigious amounts of data. Yet<span>\u00a0<\/span><b>labeling data and images is<\/b><span>\u00a0<\/span><b>tedious<\/b><span>\u00a0<\/span>and time-consuming. Sometimes, you don\u2019t have enough data, especially for safety-critical systems. Generating accurate synthetic data can improve your data sets. In both cases, automation is critical to meeting deadlines.<\/p>\n<h3 style=\"text-align: justify;\">AI Modeling<\/h3>\n<p style=\"text-align: justify;\">Key factors for success in modeling AI systems are to:<\/p>\n<ul style=\"text-align: justify;\">\n<li style=\"text-align: justify;\">Start with a complete set of<span>\u00a0<\/span><b>algorithms and prebuilt models<\/b><span>\u00a0<\/span>for machine learning, deep learning, reinforcement learning, and other AI techniques<\/li>\n<li style=\"text-align: justify;\">Use<span>\u00a0<\/span><b>apps<\/b><span>\u00a0<\/span>for productive design and analysis<\/li>\n<li style=\"text-align: justify;\">Work in an<span>\u00a0<\/span><b>open ecosystem<\/b><span>\u00a0<\/span>where AI tools like MATLAB<sup>\u00ae<\/sup>, PyTorch, and TensorFlow\u2122 can be used together<\/li>\n<li style=\"text-align: justify;\">Manage<span>\u00a0<\/span><b>compute complexity<span>\u00a0<\/span><\/b>with GPU acceleration and scaling to parallel and cloud servers and on-premise data centers<\/li>\n<\/ul>\n<div class=\"text containsResourceName section resourceClass-text\" style=\"text-align: justify;\">\n<div class=\"mw-text\">\n<h3>System Design<\/h3>\n<p>AI models exist within a complete system. In automated driving systems, AI for perception must integrate with algorithms for localization and path planning and controls for braking, acceleration, and turning.<\/p>\n<\/div>\n<\/div>\n<div class=\"cqImage containsResourceName section resourceClass-image\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-sm-6\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.full.medium.jpg\/1646287546033.jpg\" alt=\"AI used in automated driving scenarios.\" title=\"AI used in automated driving scenarios.\" width=\"687\" height=\"458\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage fluid_image remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.150.medium.jpg\/1646287546033.jpg 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.320.medium.jpg\/1646287546033.jpg 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.480.medium.jpg\/1646287546033.jpg 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.620.medium.jpg\/1646287546033.jpg 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_\/mainParsys3\/image_copy.adapt.full.medium.jpg\/1646287546033.jpg 800w\" \/><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">AI used in automated driving scenario.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<p style=\"text-align: justify;\">Consider the AI in predictive maintenance for wind farms and autopilot controls for today\u2019s aircraft.<\/p>\n<p style=\"text-align: justify;\"><b>Complex, AI-driven systems like these require integration and simulation.<\/b><\/p>\n<h3 style=\"text-align: justify;\">Deployment<\/h3>\n<p style=\"text-align: justify;\">AI models need to be deployed to CPUs, GPUs, and\/or FPGAs in your final product, whether part of an embedded or edge device, enterprise system, or cloud. AI models running on the embedded or edge device provide the quick results needed in the field, while AI models running in enterprise systems and the cloud provide results from data collected across many devices. Frequently, AI models are deployed to a combination of these systems.<\/p>\n<p style=\"text-align: justify;\">The deployment process is accelerated when you generate code from your models and target your devices. Using code generation optimization techniques and hardware-optimized libraries, you can tune the code to fit the low power profile required by embedded and edge devices or the high-performance needs of enterprise systems and the cloud.<\/p>\n<hr \/>\n<h2 class=\"h1 add_font_color_orange add_margin_0 add_center_rule text-center\" style=\"text-align: justify;\"><span style=\"color: #e67e23;\">Developing AI-Driven Systems with MATLAB<\/span><\/h2>\n<div class=\"text containsResourceName section resourceClass-text\" style=\"text-align: justify;\">\n<div class=\"mw-text\">\n<p>There\u2019s a well-documented shortage of skills in AI. However, engineers and scientists who use MATLAB or Simulink<sup>\u00ae<\/sup><span>\u00a0<\/span>have the skills and tools necessary to create AI-driven systems in their areas of expertise.<\/p>\n<h3>Data Preprocessing with MATLAB<\/h3>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"ad0251b6-f603-4461-9b59-4dbf66f79c2f parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<p>You will spend less time<span>\u00a0<\/span>preprocessing data. From time-series sensor data to images to text, MATLAB apps and datatypes significantly reduce the time required to preprocess data. High-level functions make it easy to synchronize disparate time series, replace outliers with interpolated values, filter noisy signals, split raw text into words, and much more. You can quickly<span>\u00a0<\/span>visualize your data<span>\u00a0<\/span>to understand trends and identify data quality issues with plots and the<span>\u00a0<\/span>Live Editor.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p style=\"text-align: justify;\">MATLAB apps automate<span>\u00a0<\/span>ground-truth labeling<span>\u00a0<\/span>of image, video, and audio\u00a0 data.<\/p>\n<p style=\"text-align: justify;\">To test algorithms before data is available from sensors or other equipment, you can generate synthetic data from Simulink. This approach is commonly used in automated driving systems such as adaptive cruise control, lane keeping assist, and automatic emergency braking.<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 8pt;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/span><\/p>\n<div class=\"caption\"><\/div>\n<p><span style=\"font-size: 8pt;\"><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"a88e92ea-13cc-465f-bcae-5539af9c3699 parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<div class=\"caption\">\n<p><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.full.medium.jpg\/1646287546871.jpg\" alt=\"Using labeling apps for deep learning workflows like semantic segmentation.\" title=\"Using labeling apps for deep learning workflows like semantic segmentation.\" width=\"340\" height=\"219\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.150.medium.jpg\/1646287546871.jpg 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.320.medium.jpg\/1646287546871.jpg 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.480.medium.jpg\/1646287546871.jpg 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.620.medium.jpg\/1646287546871.jpg 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image.adapt.full.medium.jpg\/1646287546871.jpg 768w\" \/><\/p>\n<p><span style=\"font-size: 8pt;\">Using labeling app<\/span><span style=\"font-size: 8pt;\">s for deep lea<\/span><span style=\"font-size: 8pt;\">rning workflows like s<\/span><span style=\"font-size: 8pt;\">eman<\/span><span style=\"font-size: 8pt;\">tic segmentati<\/span><span style=\"font-size: 8pt;\">on.\u00a0 \u00a0\u00a0<\/span><\/p>\n<h2 style=\"text-align: center;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns\/a88e92ea-13cc-465f-bcae-5539af9c3699\/image_1658505887.adapt.320.medium.svg\/1646287546936.svg\" alt=\"Interoperating with deep learning frameworks.\" width=\"346\" height=\"195\" style=\"float: left;\" \/><\/h2>\n<p><span style=\"font-size: 8pt;\"><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"text containsResourceName section resourceClass-text\" style=\"text-align: justify;\">\n<div class=\"mw-text\">\n<h2 style=\"text-align: center;\">AI Modeling with MATLAB<\/h2>\n<p style=\"text-align: center;\">AI modeling techniques vary by application.<\/p>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4>Machine Learning<\/h4>\n<p>MATLAB users have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics.<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/statistics.html\">Statistics and Machine Learning Toolbox\u2122<\/a><span>\u00a0<\/span>makes the hard parts of machine learning easy with apps for training and comparing models, advanced signal processing and feature extraction, classification, regression, and clustering algorithms for<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/discovery\/supervised-learning.html\">supervised<\/a><span>\u00a0<\/span>and unsupervised learning.<\/p>\n<p>ASML, a semiconductor manufacturer, used machine learning techniques to create virtual metrology technology to improve the overlay alignment in the complex structures that make up a chip. \u201cAs a process engineer, I had no experience with neural networks or machine learning. I worked through the MATLAB examples to find the best machine learning functions for generating virtual metrology. I couldn\u2019t have done this in C or Python\u2014it would\u2019ve taken too long to find, validate, and integrate the right packages,\u201d explained engineer Emil Schmitt-Weaver.<\/p>\n<p>MATLAB models also have faster execution than open source on most statistical and machine learning computations.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.full.medium.gif\/1646287547401.gif\" alt=\"The Classification Learner app, which lets you try different classifiers and find the best fit for your data set.\" title=\"The Classification Learner app, which lets you try different classifiers and find the best fit for your data set.\" width=\"426\" height=\"279\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.150.medium.gif\/1646287547401.gif 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.320.medium.gif\/1646287547401.gif 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.480.medium.gif\/1646287547401.gif 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.620.medium.gif\/1646287547401.gif 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.full.medium.gif\/1646287547401.gif 740w\" \/><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">The Classification Learner app, which lets you try different classifiers and find the best fit for your data set.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4>Deep Learning<\/h4>\n<p>Engineers use MATLAB deep learning capabilities for automated driving, computer vision, speech and natural language processing, and other applications.<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/deep-learning.html\">Deep Learning Toolbox\u2122<\/a><span>\u00a0<\/span>lets you create, interconnect, train, and evaluate the layers of a deep neural network. Examples and pretrained networks make it easy to use MATLAB for deep learning, even without knowledge of advanced computer vision algorithms or neural networks.<\/p>\n<p>MATLAB enables engineers to work together across different deep learning frameworks. With support for ONNX, MATLAB allows importing and exporting of the latest models to and from other supported frameworks, including TensorFlow.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><span style=\"font-size: 8pt;\"><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.full.medium.jpg\/1646287547773.jpg\" alt=\"The Deep Network Designer app, which lets you build, visualize, and edit deep learning networks.\" title=\"he Deep Network Designer app, which lets you build, visualize, and edit deep learning networks.\" width=\"430\" height=\"242\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.150.medium.jpg\/1646287547773.jpg 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.320.medium.jpg\/1646287547773.jpg 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.480.medium.jpg\/1646287547773.jpg 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.620.medium.jpg\/1646287547773.jpg 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy_copy.adapt.full.medium.jpg\/1646287547773.jpg 640w\" \/><\/span><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">The Deep Network Designer app, which lets you build, visualize, and edit deep learning networks.<\/span><span style=\"font-size: 8pt;\"><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4>Reinforcement Learning<\/h4>\n<p>In control systems that benefit from learning based on cumulative reward, reinforcement learning is an ideal technique.<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/reinforcement-learning.html\">Reinforcement Learning Toolbox\u2122<\/a><span>\u00a0<\/span>lets you train policies using DQN, A2C, DDPG, and other reinforcement learning algorithms. You can use these policies to implement controllers and decision-making algorithms for complex systems such as robots and autonomous systems. You can implement the policies using deep neural networks, polynomials, or lookup tables.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><span style=\"font-size: 8pt;\"><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.full.medium.jpg\/1646287548199.jpg\" alt=\"Using Reinforcement Learning Toolbox to design and train policies.\" title=\"Using Reinforcement Learning Toolbox to design and train policies.\" width=\"441\" height=\"248\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.150.medium.jpg\/1646287548199.jpg 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.320.medium.jpg\/1646287548199.jpg 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.480.medium.jpg\/1646287548199.jpg 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.620.medium.jpg\/1646287548199.jpg 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_1269068900\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy_copy.adapt.full.medium.jpg\/1646287548199.jpg 640w\" \/><\/span><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">Using Reinforcement Learning Toolbox to design and train policies.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4><\/h4>\n<h4>Natural Language Processing<\/h4>\n<p>Natural language processing models are commonly used for sentiment analysis, predictive maintenance, and topic modeling.<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/text-analytics.html\">Text Analytics Toolbox\u2122<\/a><span>\u00a0<\/span>provides algorithms and visualizations for preprocessing, analyzing, and modeling text data. It lets you extract and process raw text from sources such as equipment logs, news feeds, surveys, operator reports, and social media.<\/p>\n<p>Using machine learning techniques such as LSA, LDA, and word embeddings, you can find clusters and create features from high-dimensional text datasets. Features created with Text Analytics Toolbox can be combined with features from other data sources to build machine learning models that take advantage of textual, numeric, and other types of data.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\"><\/div>\n<div class=\"clearfix mw-image thumbnail\"><\/div>\n<div class=\"clearfix mw-image thumbnail\">\n<p><span style=\"font-size: 8pt;\"><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.full.medium.gif\/1646287548734.gif\" alt=\"Identifying topics in storm report data. \" title=\"Identifying topics in storm report data. \" width=\"441\" height=\"248\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.150.medium.gif\/1646287548734.gif 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.320.medium.gif\/1646287548734.gif 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.480.medium.gif\/1646287548734.gif 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.620.medium.gif\/1646287548734.gif 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2079877567\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.full.medium.gif\/1646287548734.gif 640w\" \/><\/span><\/p>\n<div class=\"caption\">\n<p><span style=\"font-size: 8pt;\">Identifying topics in storm report data.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\" style=\"text-align: justify;\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4>System Design<\/h4>\n<p>Complex, AI-driven systems need to integrate with other algorithms.<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/solutions\/system-design-simulation.html\">System design and simulation<\/a><span>\u00a0<\/span>are important because the overall system impacts the effectiveness of AI models. Engineers use Simulink for rapid design iteration and closed-loop testing.<\/p>\n<p>For example, in an automated driving system, you use AI and simulation for the overall system design. You use Simulink to model the dynamics of the vehicle, design the driving controller, and fuse various sensor signals. You use MATLAB to develop and train the AI model and incorporate the trained model into Simulink for system-level simulation. You might use software like the Unreal Engine to synthesize camera images to feed the AI model and for 3D visualization.<\/p>\n<p><a href=\"https:\/\/www.mathworks.com\/company\/newsletters\/articles\/developing-longitudinal-controls-for-a-self-driving-taxi.html\">Voyage<\/a>, which makes self-driving taxis for retirement communities, deployed a Level 3 autonomous vehicle in less than three months. The integrated model sped the process from idea to road testing. Simulink let them safely test in dangerous conditions.<\/p>\n<p>Simulink also lets you generate failure data from known failure conditions. In a wind farm, you might add the synthetic failure data to the measured data from the wind turbines. You can refine your system model to get an accurate predictor of future equipment failures.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqThumbnail containsResourceName resourceClass-thumbnail section\">\n<div class=\"thumbnail thumbnail_asset asset_overlay add_margin_20\">\n<div class=\"row\">\n<div class=\"col-xs-12\">\n<div class=\"add_margin_5\">\n<p><a href=\"https:\/\/www.mathworks.com\/videos\/deep-learning-in-simulink-1599214701480.html\" title=\"See how you can use the Deep Learning Toolbox block library as well as MATLAB Function block to simulate trained deep learning models in Simulink.\"><span class=\"sr-only\">Deep Learning in Simulink.<\/span><\/a><\/p>\n<div data-adaptivepicture=\"\" data-alt=\"\" data-class=\"fluid_image\" data-image=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/thumbnail.adapt.full.medium.jpg\/1604311145666.jpg\" data-has-mobile=\"false\" data-mobile-breakpoint=\"481\" data-mobile-image=\".adapt.full.medium\"><\/div>\n<\/div>\n<div class=\"asset_title\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<p><img decoding=\"async\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.full.medium.jpg\/1646287549254.jpg\" alt=\"Using synthetic failure data from the model along with measured data to create a strong predictor of future failures.\" title=\"Using synthetic failure data from the model along with measured data to create a strong predictor of future failures.\" width=\"460\" height=\"197\" sizes=\"auto, 100vw\" loading=\"lazy\" class=\"responsiveImage remove_border\" srcset=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.150.medium.jpg\/1646287549254.jpg 150w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.320.medium.jpg\/1646287549254.jpg 320w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.480.medium.jpg\/1646287549254.jpg 480w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.620.medium.jpg\/1646287549254.jpg 620w, https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2041817390\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image.adapt.full.medium.jpg\/1646287549254.jpg 1000w\" \/><\/p>\n<div class=\"caption\">\n<p>Using synthetic failure data from the model along with measured data to create a strong\u00a0predictor of future failures.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"cqColumns containsResourceName section resourceClass-columns\">\n<div class=\"row\">\n<div class=\"col-xs-12 col-md-8\" style=\"text-align: justify;\">\n<div class=\"0300b0ce-ab7e-4986-9f45-56261f54af76 parsys containsResourceName resourceClass-parsys\">\n<div class=\"text containsResourceName section resourceClass-text\">\n<div class=\"mw-text\">\n<h4><\/h4>\n<h4>Deployment<\/h4>\n<p>AI models in MATLAB can be deployed on embedded devices or boards, edge devices in the field,<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/solutions\/enterprise-it-systems.html\" data-link=\"lead\" data-offertype=\"Web Trial Request for Enterprise and IT Systems\" data-component=\"text\">enterprise systems<\/a>, or the cloud.<\/p>\n<p>For deep learning models, you can use<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/gpu-coder.html\">GPU Coder\u2122<\/a><span>\u00a0<\/span>to generate and deploy NVIDIA<sup>\u00ae<\/sup><span>\u00a0<\/span>CUDA<sup>\u00ae<\/sup><span>\u00a0<\/span>GPUs. Or generate C code with\u00a0<a href=\"https:\/\/www.mathworks.com\/products\/matlab-coder.html\">MATLAB Coder\u2122<\/a>\u00a0and<b><span>\u00a0<\/span><\/b><a href=\"https:\/\/www.mathworks.com\/products\/simulink-coder.html\">Simulink Coder<b>\u2122<\/b><\/a><span>\u00a0<\/span>for deployment on Intel<sup>\u00ae<\/sup>\u00a0and Arm<sup>\u00ae<\/sup>\u00a0boards.. Vendor-optimized libraries create deployable models with high-performance inference speed.<\/p>\n<p>With<span>\u00a0<\/span><a href=\"https:\/\/www.mathworks.com\/products\/matlab-production-server.html\">MATLAB Production Server\u2122<\/a>, you can securely deploy to and integrate with enterprise IT systems, data sources, and operational technologies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-xs-12 col-md-4\">\n<div class=\"9dc56956-ab01-4e92-8705-06ae1d876f1b parsys containsResourceName resourceClass-parsys\">\n<div class=\"cqImage containsResourceName section resourceClass-image\">\n<div class=\"clearfix mw-image thumbnail\">\n<div data-adaptivepicture=\"\" data-alt=\"Integrating directly with existing systems and data, including Tableau, TIBCO Spotfire, Power BI, and other modern analytics systems.\" data-class=\" remove_border\" data-image=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2017731859\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.full.medium.svg\/1646287549707.svg\" data-has-mobile=\"false\" data-mobile-breakpoint=\"481\" data-mobile-image=\".adapt.full.medium\" style=\"text-align: justify;\"><\/div>\n<div data-adaptivepicture=\"\" data-alt=\"Integrating directly with existing systems and data, including Tableau, TIBCO Spotfire, Power BI, and other modern analytics systems.\" data-class=\" remove_border\" data-image=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2017731859\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.full.medium.svg\/1646287549707.svg\" data-has-mobile=\"false\" data-mobile-breakpoint=\"481\" data-mobile-image=\".adapt.full.medium\" style=\"text-align: justify;\"><img decoding=\"async\" alt=\"Integrating directly with existing systems and data, including Tableau, TIBCO Spotfire, Power BI, and other modern analytics systems.\" class=\"remove_border responsiveImage\" loading=\"lazy\" src=\"https:\/\/www.mathworks.com\/discovery\/artificial-intelligence\/_jcr_content\/mainParsys3\/discoverysubsection_227802398\/mainParsys3\/columns_1404862690_c_2017731859\/9dc56956-ab01-4e92-8705-06ae1d876f1b\/image_copy.adapt.320.medium.svg\/1646287549707.svg\" width=\"348\" height=\"250\" \/><\/div>\n<div class=\"caption\">\n<p style=\"text-align: justify;\">Integrating directly with existing systems and data, including Tableau<sup>\u00ae<\/sup>, TIBCO<sup>\u00ae<\/sup><span>\u00a0<\/span>Spotfire<sup>\u00ae<\/sup>, Power BI, and other modern analytics systems.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>What Is Artificial Intelligence? 3 things you need to know Artificial intelligence, or AI, is a simulation of intelligent human behavior. It\u2019s a computer or system designed to perceive its environment, understand its behaviors, and take action. Consider self-driving cars: AI-driven systems like these integrate AI algorithms, such as machine learning and deep learning, into [&hellip;]<\/p>","protected":false},"author":36,"featured_media":0,"parent":18,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-4358","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.1 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What Is Artificial Intelligence? - TechSource Systems &amp; Ascendas Systems Group<\/title>\n<meta name=\"description\" content=\"Artificial intelligence, or AI, is a simulation of intelligent human behavior. 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