Prof. Dr. Marius Lindauer, a member of the L3S Research Center and Head of the Institute of Artificial Intelligence at Leibniz University Hannover, explains how artificial intelligence (AI) can become more efficient in a recent video published by Plattform Lernende Systeme.
In the video titled “How Can AI Become More Efficient?”, Lindauer addresses key challenges associated with modern AI systems, particularly their high energy consumption. He outlines technological approaches that can help make AI more sustainable and resource-efficient. A central focus of the discussion is automated machine learning (AutoML) – a research area in which Lindauer is actively involved – which enables the development of AI models that are not only powerful, but also more energy-efficient.
The topic is highly relevant in the context of ongoing debates about the environmental impact of digital technologies. While AI systems can require substantial computational resources, intelligent learning and optimisation methods offer significant potential to reduce their energy footprint. Lindauer illustrates how AutoML can serve as a key concept in this regard, supporting both the ecological sustainability of AI and its practical deployment in research and industry.
🔗 Watch the video: Plattform Lernende Systeme
With his contribution, Marius Lindauer demonstrates how cutting-edge research and accessible science communication can come together to address socially relevant questions in AI development – a core mission of the L3S Research Center.
