Purpose:

To document the theoretical insights from the first lecture on smart systems and intelligent environments.

Introduction:

The first lecture introduced the concepts of smart systems and intelligent environments, starting with a historical overview of computing and its evolution. It highlighted the transition from an era of single computers serving many users to ubiquitous computing, where technology is seamlessly integrated into daily life. A significant focus was on understanding the distinctions between smart systems, which react to predefined inputs, and intelligent systems, which analyze and adapt to optimize their functionality.

Key Content:

1. Evolution of Computing:

• The development of computing was traced from mainframe systems to personal computers and finally to interconnected and pervasive devices.
• This evolution has led to the integration of computing power into everyday objects, facilitating advancements like the Internet of Things (IoT).

2. Ubiquitous Computing:

• The idea of "disappearing computers," as coined by Mark Weiser, emphasizes technology becoming so integrated into daily life that it blends seamlessly into the environment.
• The goal of ubiquitous computing is to make interactions effortless and intuitive, enhancing user experiences without conscious engagement.
• Examples include wearable devices, smart home systems, and embedded sensors in vehicles.

3. Smart vs. Intelligent Systems:

• Smart Systems: Systems that respond to sensor inputs with predefined actions. For example, a smart light that turns on when motion is detected.