Next Generation Computing

Energy-efficient AI chips for atrial fibrillation detection

Research News /

AI systems can improve healthcare, increase recovery chances for patients and assist physicians in their diagnoses. The challenge is that artificial intelligence consumes an enormous amount of power. The Fraunhofer Institutes for Integrated Circuits IIS and for Industrial Mathematics ITWM have developed solutions for energy-saving AI chips that can help with early stage detection of atrial fibrillation – a special heart rhythm disorder – in the future. For their ideas, the two institutes were each awarded 1st place in the pilot innovation contest “Energy-efficient AI systems” from the German Federal Ministry of Education and Research (BMBF).