Neuromorphic Computing: Memristor Based On Vertically Aligned Nanocomposite With Highly Defective Vertical Channels (Purdue, UT Arlington)


A new technical paper titled "An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing" was published by researchers at Purdue University and University of Texas at Arlington. "In this work, a memristor based on SrTiO3-CeO2 (S-C) VAN thin films with highly defective vertical interfaces has been successfully demonst... » read more

Benefits Of The Ultra-Low Leakage Currents from IGZO TFTs For Neuromorphic Applications


A new technical paper titled "A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications" was published by researchers at imec, CSIC Universidad de Sevilla, and Sungkyunkwan University. Abstract "Spiking neural network algorithms require fine-tuned neuromorphic hardware to increase their effectiveness. Such ... » read more

Neuromorphic HW Fabric That Supports A Recently Proposed Class of Stochastic Neural Network


New research paper titled "Neural sampling machine with stochastic synapse allows brain-like learning and inference" from University of Notre Dame and Department of Cognitive Sciences, University of California Irvine. Abstract "Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-... » read more

Neuromorphic Chips & Power Demands


Research paper titled "A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware," from researchers at Graz University of Technology and Intel Labs. Abstract "Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs. But this requires to understand how D... » read more

Neuromorphic electronics based on copying and pasting the brain


Abstract: "Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but remains a distant prospect. The focus of neuromorphic engineering has thus been relaxed from rigorous brain mimicry to designs inspired by qualitative features of the brain, including event-driven sign... » read more