(The Gist of Science Reporter) IIT Delhi Researchers Demonstrate a New Brain-inspired Artificial Neuron for Building Accurate and Efficient Neuromorphic AI Systems

(GIST OF SCIENCE REPORTER) IIT Delhi Researchers Demonstrate a New Brain-inspired Artificial Neuron for Building Accurate and Efficient Neuromorphic AI Systems

Researchers at IIT Delhi have invented a new spiking neuron model named as DEXAT (Double EXponential Adaptive Threshold neuron).
The invention is significant as it will help to build accurate, fast and energy-efficient neuromorphic Artificial Intelligence (AI) systems for real-world applications like speech recognition.
The work being interdisciplinary lies at the intersection of Artificial Intelligence, Neuromorphic Hardware and Nanoelectronics.

The study demonstrated neuron model with higher accuracy, faster convergence and flexibility in hardware implementation compared to other state-of-the-art adaptive threshold spiking neurons.
The proposed solution achieves high performance with fewer neurons. Benefits of proposed invention were shown on multiple datasets.
Classification accuracy of 91% on Google Spoken Commands (GSC) dataset was achieved. A patent has also been filed on this work.
The proposed nanodevice neuromorphic network was found to achieve 94% accuracy even with very high device variability indicating robustness.