**Description:** Operating systems are a set of software that supports the basic functions of a computer and manages hardware and software resources. They act as intermediaries between the user and the hardware, allowing applications to run efficiently. An operating system manages memory, processes, input and output devices, and provides a user interface, whether graphical or command-line. Additionally, it handles security and file management, ensuring that data is stored and retrieved effectively. In the context of Edge AI, operating systems are crucial for processing data at the edge of the network, enabling devices to perform analysis and make decisions in real-time without relying on the cloud. This is particularly relevant in applications where latency is critical, such as in autonomous vehicles or IoT devices. The ability of an operating system to handle multiple tasks and optimize resource usage is essential for the performance of artificial intelligence applications at the edge, where resources may be limited and efficiency is key.
**History:** Operating systems have evolved since the early days of computing in the 1950s, when programs were executed sequentially and manually. Over time, more complex systems emerged, such as the CTSS operating system in 1961, which introduced the concept of time-sharing. In the 1970s, UNIX became an influential operating system, establishing standards that are still used today. The advent of personal computing in the 1980s brought operating systems like MS-DOS and later Windows, which popularized the graphical user interface. In recent decades, the rise of mobile devices and cloud computing has led to the development of specific operating systems like Android and iOS, as well as the integration of artificial intelligence capabilities into modern operating systems.
**Uses:** Operating systems are used in a wide variety of devices, from personal computers and servers to mobile devices and embedded systems. In the business realm, they are essential for server management and running critical applications. At home, operating systems enable the use of computers and smart devices, facilitating everyday tasks. In the context of Edge AI, operating systems allow devices to process data locally, reducing latency and improving efficiency in applications such as industrial automation, surveillance, and real-time data analysis.
**Examples:** Examples of operating systems used in the context of Edge AI include Linux, which is widely used in servers and IoT devices, and Windows IoT, which is designed for edge applications. Additionally, operating systems like Android Things have been specifically developed for smart devices, enabling the integration of artificial intelligence capabilities at the edge of the network. Another example is the use of operating systems in autonomous vehicles, where real-time processing is required for decision-making.
