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Fraunhofer News

ENERGY-EFFICIENT AI CHIPS FOR ATRIAL FIBRILLATION DETECTION

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).

Teledyne Flir Machine Vision

New 16 MP Blackfly S that Breaks Through GigE Barriers

Introducing the latest additions to our Blackfly S GigE camera lineup – the BFS-PGE-161S7M and BFS-PGE-161S7C deliver a high-resolution sensor in a compact form factor, superior price to performance ratio and exceptional low-light performance. The 16 MP Sony IMX542 (Pregius S series) features back-illuminated sensor pixel (BSI) technology, significantly improved quantum efficiency (QE), reduced pixel sizes, and enables the use of less expensive and more compact optics.

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