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