{"id":2502,"date":"2020-08-31T20:21:27","date_gmt":"2020-08-31T20:21:27","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2020\/08\/31\/how-to-integrate-artificial-learning-with-embedded-systems\/"},"modified":"2020-08-31T20:21:27","modified_gmt":"2020-08-31T20:21:27","slug":"how-to-integrate-artificial-learning-with-embedded-systems","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2020\/08\/31\/how-to-integrate-artificial-learning-with-embedded-systems\/","title":{"rendered":"How to Integrate Artificial Learning with Embedded Systems?"},"content":{"rendered":"

How to Integrate Artificial Learning with Embedded Systems?<\/a><\/p>\n

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Keywords like Embedded AI \/Embedded ML \/Edge AI<\/a>, mean the same that encapsulate making an AI algorithm or model run seamlessly on embedded devices. However, due to a massive gap between technologies, C-Suites and even the techies don\u2019t know where to start.<\/p>\n

Artificial intelligence (AI) is witnessed as an imperative technology required for the growth and development of the Internet of Things (IoT)<\/a>, robots and autonomous vehicles. Embedding advanced AI in action in everyday life requires massive data sources to go through multiple high-speed computers in remote server farms. Besides, they are now also being proposed as a way of managing the immensely complex 5G protocols.<\/p>\n

Embedded hardware finds its application to maintaining the health of industrial equipment operating in remote locations.<\/p>\n

AI Implementation over Embedded Systems<\/strong><\/h3>\n

Systems powered with embedded sensors can be trained to spot potential problems when they are fed with real-time data. However, a neural network, applies many algorithms as an alternative solution to address the task at hand.<\/p>\n

Embedded systems dealing with the science of integrating hardware and its related software\u2019s at a nano scale can be used to apply\/study AI and Machine Learning<\/a> techniques which are just theories and concepts. For instance, a robot is an embedded system (with chips, sensors, etc) running a software which can perform\/simulate AI and Machine learning tasks such as Path finding, face detection, aggregating environmental data and sending them to servers for knowledge representation, data mining, etc.<\/p>\n

Understanding Embedded AI Applications<\/strong><\/h3>\n

Enterprises can enjoy plenty of applications over embedded systems especially when artificial intelligence capabilities are brought into these systems. Some important upcoming application areas include:<\/p>\n