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Neuromorphic chip detects complex biosignals in real time Current neural network algorithms produce impressive results that help solve an incredible number of problems. However, the electronic devices used to run these algorithms still require too much processing power. These artificial intelligence (AI) systems simply cannot compete with an actual brain when it comes to processing sensory information or interactions with the environment in real time. Neuromorphic chip detects high-frequency oscillations Neuromorphic engineering is a promising new approach that bridges the gap between artificial and natural intelligence. An interdisciplinary research team at the University of Zurich, the ETH Zurich, and the UniversityHospital Zurich has used this approach to develop a chip based on neuromorphic technology that reliably and accurately recognizes complex biosignals.

Giacomo indiveriUniversityhospital zurichJohannes sarntheinEmily hendersonUniversity children hospital zurichProfessor at institute for neuroinformaticsZurich centerUniversity of zurichEpilepsy surgerySwiss epilepsy clinicUniversity childrenArtificial intelligenceஎமிலி ஹென்டர்சன்பல்கலைக்கழகம் குழந்தைகள் மருத்துவமனை ஸுரிஸுரி மையம்பல்கலைக்கழகம் ஆஃப் ஸுரி