Artificial Intelligence (AI): The simulation of human intelligence processes by machines, especially computer systems. These processes include learning (acquiring information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction.
Automation: The technology by which a process or procedure is performed with minimal human assistance. Automation has been applied in various ways, including in manufacturing, transportation, and in managing data.
Algorithms: A set of rules or instructions given to an AI, computer program, or robot to help it learn on its own or perform tasks autonomously.
Machine Learning: A branch of AI focused on building systems that learn from data. Machine learning enables a system to learn from past data, improve its performance, and make predictions.
GPS (Global Positioning System): A satellite-based navigation system used to determine the ground position of an object. GPS technology is crucial for autonomous vehicles to navigate and determine routes.
Autonomous Vehicles: Vehicles equipped with AI that can perform all driving functions without human input. These include delivery drones, self-driving cars, and automated guided vehicles (AGVs) in warehouses.
Carbon Footprint: The total amount of greenhouse gases (including carbon dioxide and methane) that are generated by our actions. The lower the carbon footprint, the better for the environment.
Ergonomics: The study of people’s efficiency in their working environment. In the context of automation, it involves designing or arranging workplaces, products, and systems so that they fit the people who use them.
Predictive Maintenance: The use of sensor data and AI to predict when a machine will fail or require maintenance, allowing for timely fixes that prevent unexpected breakdowns and save costs.
Ethics in AI: The branch of ethics that examines the moral issues and societal challenges related to the use of AI and automated systems, including privacy, job displacement, and the decision-making processes of AI systems.