Austrian Researchers Aim to Advance Industrial AI for Edge Devices
Austrian researchers, led by TU Vienna, are working on 'Domino', a project aiming to advance industrial AI applications for use on EdgeAI devices. The goal is to make AI more accessible, efficient, and secure for businesses, especially small and medium-sized enterprises (SMEs), while aligning with the EU AI Act.
Edge AI enables real-time data processing and decision-making directly on devices, reducing latency and enhancing privacy. This approach is particularly beneficial in industries like energy and wood processing, where quick responses are crucial.
The 'Domino' project takes a holistic approach, covering the entire system lifecycle. It aims to develop AI-optimized models that are energy-efficient and secure, and can be used directly on decentralized devices. The project also focuses on monitoring AI performance under real conditions and integrating user feedback to improve AI decisions continuously.
The advantages of edge computing include shorter response times, higher data protection standards, and energy savings. By processing data locally, it reduces the need for continuous cloud connection, making it more practical and cost-effective for SMEs.
The 'Domino' project, led by TU Vienna, is set to simplify the use of AI on decentralized devices. By developing AI-optimized models, monitoring performance, and integrating user feedback, it aims to support companies in practical AI deployment, including certification in safety-critical areas. The project aligns with the EU AI Act and aims to make AI more accessible, efficient, and secure for businesses.
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