What is AIoT | Basic Concept of AIoT | Overview | AI and IoT

Overview of AI and IoT, the convergence of technologies, and the practical applications of AI and IoT in real-life scenarios.

Explanation of the implementation and integration of AI and IoT, the significance of AI in IoT development, and the utilization of 5G networks, big data, and cloud computing in AI applications.

Detailed discussion on AI as a science and technology, its functions related to human intelligence, and the basic conditions required for achieving AI.

Description of deep learning as a breakthrough in AI algorithms, the impact of GPUs, PUs, and FPGAs on computing power, and the prediction of data volume growth.

Explanation of traditional machine learning, deep learning, reinforcement learning, and various algorithms used in machine learning such as SVM, neural networks, and deep learning algorithms.

Examples of AI applications in voice translation, natural language processing, identity recognition, visual interpretation, and expert systems in various fields including healthcare and finance.

Overview of IoT in connecting sensors to the internet, interconnecting people and devices, the architecture of IoT systems, and the role of software in IoT device communication and data analysis.

Discussion of IoT platforms selection criteria, communication protocols in IoT networks, data collection and management, and the value of IoT platforms in processing and analyzing data.

Explanation of the layers in IoT architecture including device hardware, device software, communications, and the application layer responsible for user interaction and service logic processing.

Examples of IoT applications in shared bicycles, smart healthcare, smart cities, and smart homes, illustrating the practical implementation and benefits of IoT technologies in various fields.