Description: Optimization models are mathematical and computational tools that seek to find the best solution to a specific problem by maximizing or minimizing an objective function. These models are fundamental in various disciplines as they allow informed decision-making based on data and constraints. In the context of multimodal optimization, it refers to the ability of these models to handle multiple modes or variables, meaning they can explore different solutions simultaneously and find the most suitable one in a complex solution space. On the other hand, optimization in Edge AI focuses on executing optimization algorithms on edge devices, that is, where data is generated, rather than relying on centralized servers. This allows for faster and more efficient responses, as it reduces latency and bandwidth usage. Together, these models are essential for solving complex problems in real-time, enhancing the efficiency and effectiveness of implemented solutions.
