Power Optimization

Power optimization research focuses on minimizing energy consumption across diverse applications, from large language models and neuromorphic systems to embedded devices and water distribution networks. Current efforts involve developing efficient algorithms and model architectures, such as convolutional neural networks and reinforcement learning, to achieve significant power reductions while maintaining performance. This research is crucial for advancing energy efficiency in various sectors, impacting sustainability, reducing operational costs, and enabling the development of more powerful yet energy-conscious technologies.