Fraunhofer Institute for Integrated Circuits IISDramatically reducing the risk of stroke with neuromorphic hardware
Communication Systems / Smart Sensing and Electronics / Engineering of Adaptive Systems 6.5.2021
The team from Fraunhofer IIS and FAU with its “Lo3-ML” (Low-power low-memory low-cost ECG signal analysis using ML algorithms) project triumphed as one of the four winning teams in the “energy-efficient AI system” pilot innovation competition.
Computer architecture inspired by the human brain – to most people, this sounds rather abstract and removed from everyday life. Far from it: a research team from Fraunhofer IIS and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has developed neuromorphic hardware capable of detecting early signs of atrial fibrillation and considerably reducing the risk of stroke. In other words, this application has an entirely practical place in everyday life.
