The Growth of AI: Implications on Hardware, Systems, Software, and the Environment
Machine Learning and Artificial Intelligence
Resource Management and Scheduling
TimeThursday, 18 November 202111:15am - 12pm CST
DescriptionAI has been a fundamental contributor to numerous breakthroughs across a wide variety of technical domains over the past decade. At Facebook, AI powers everything from recommendation systems to virtual reality. The superlinear growth has driven the need for changes throughout the systems stack, and has fundamentally shifted the set of problems that practitioners and researchers need to tackle. At the same time, AI has driven an insatiable demand for resources, and that demand carries significant implications on the environment due to the corresponding carbon emissions that begin during manufacturing and are carried through the entire ML lifecycle. This talk will present various trends in data, systems, and hardware as they pertain to the rapid growth of AI. The talk will then quantify the environmental impact of these trends, and will present various opportunities for advancing the field of AI, and all of the systems needed to support AI, in a responsible manner.