The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
NeutralArtificial Intelligence
- The integration of Artificial Intelligence (AI) into communication networks is leading to increased energy consumption, prompting the introduction of a new metric, the Energy Cost of AI Lifecycle (eCAL). This metric aims to quantify energy usage throughout the AI model's lifecycle, addressing a significant gap in current energy consumption metrics.
- Understanding the energy implications of AI in communication systems is crucial for optimizing performance and sustainability. The eCAL metric provides a framework for evaluating energy efficiency, which is vital as AI becomes more prevalent in various applications.
- The exploration of AI's role in communication networks aligns with broader discussions about its potential to create new layers in existing models and its transformative impact across industries, including scientific research and translation, highlighting the need for responsible AI integration.
— via World Pulse Now AI Editorial System
