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Neuromorphic chip detects complex biosignals in real time


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 Indiveri , Universityhospital Zurich , Johannes Sarnthein , Emily Henderson , University Children Hospital Zurich , Professor At Institute For Neuroinformatics , Zurich Center , University Of Zurich , Epilepsy Surgery , Swiss Epilepsy Clinic , University Children , Artificial Intelligence , எமிலி ஹென்டர்சன் , பல்கலைக்கழகம் குழந்தைகள் மருத்துவமனை ஸுரி , ஸுரி மையம் , பல்கலைக்கழகம் ஆஃப் ஸுரி , கால் கை வலிப்பு அறுவை சிகிச்சை , பல்கலைக்கழகம் குழந்தைகள் , செயற்கை உளவுத்துறை ,