In 6.1, in Classroom you can find a paper that discusses the growing energy consumption problem in AI (Artificial Intelligence) systems.
The paper proposes an optimization model that will significantly reduce energy usage while maintaining high AI model performance.
This is actually a key challenge in AI - energy: if we reduce energy consumption, will the performance reduce? we don't want that.
The key challenge is that as AI becomes more prevalent in enterprise systems for automation and decision-making, the computational demands lead to substantial energy costs and environmental concerns.
So, the paper discusses energy-efficient optimization algorithms that work during both the training and inference phases of AI models, using a multi-objective optimization approach to balance energy reduction against performance requirements.
Feel free to download it , in the Classroom.