Search Results for author: Michael Keckeisen

Found 2 papers, 0 papers with code

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

no code implementations5 Mar 2024 Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen

Within our methodology, in order to quantify the sustainability awareness of these AI models, we propose a definition of the code's "green capacity", based on certain sustainability metrics.

Code Generation

ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study

no code implementations11 Aug 2021 Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider

ProAI is being developed by ZF mainly to run powerful and efficient applications such as multitask DNNs and on top of that it also has the required safety certification for AD.

Autonomous Driving

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