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Climate change, increasing environmental pollution and rising resource consumption implicate sustainable and also reliable solutions to ensure a liveable and safe future for generations to come. Significant opportunities for savings lie in the field of business and industry, particularly by improving production processes. In this paper, we summarize our ongoing research from the AI4Green project funded by INTERREG Bayern-Österreich. We outline challenges and opportunities for reliable resource optimizations in challenging domains such as agriculture, robotics and production processes using artificial intelligence. We conclude that the optimization potential is high and provide an outlook of our future research activities to develop safe and reliable resource-optimal industrial AI-based solutions.

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AI4Green: A Framework for AI-Based Resource Optimizations for Reliable Applications

  • 会议论文

  • 发表日期：

    2026年

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  • Kai Höfig,
  • Mario Döller,
  • Faiza Waheed,
  • Fabian Riß,
  • Michael Scholz,
  • Joerg Bauer,
  • Hannes Waclawek,
  • Georg Schäfer,
  • Stefan Huber,
  • Bernhard Heinzl,
  • Michael Hellwig,
  • Steffen Finck

摘要

Climate change, increasing environmental pollution and rising resource consumption implicate sustainable and also reliable solutions to ensure a liveable and safe future for generations to come. Significant opportunities for savings lie in the field of business and industry, particularly by improving production processes. In this paper, we summarize our ongoing research from the AI4Green project funded by INTERREG Bayern-Österreich. We outline challenges and opportunities for reliable resource optimizations in challenging domains such as agriculture, robotics and production processes using artificial intelligence. We conclude that the optimization potential is high and provide an outlook of our future research activities to develop safe and reliable resource-optimal industrial AI-based solutions.