Neuromorphic Computing: Graphene-Based Memristors For Future AI Hardware From Fabrication To SNNs

A technical paper titled “A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits” was published by researchers at James Cook University (Australia) and York University (Canada). Abstract: "As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's... » read more

TaN Nanowires At 300 mm Wafer Scale For Quantum Computing And More

A technical paper titled "Ultra-thin TaN Damascene Nanowire Structures on 300 mm Si Wafers for Quantum Applications" was published by researchers at NY CREATES, United States Air Force Research Laboratory and SUNY Polytechnic Institute. Abstract: "We report on the development and characterization of superconducting damascene tantalum nitride (TaN) nanowires, 100 nm to 3 μm wide, with TaN thi... » read more

Redox-Based Ionic Devices For High-Performance Neuromorphic Computing

A technical paper titled "A Redox-Based Ion-Gating Reservoir, Utilizing Double Reservoir States in Drain and Gate Nonlinear Responses" was published by researchers at National Institute for Materials Science (NIMS) and Tokyo University of Science. Abstract: "Herein, physical reservoir computing with a redox-based ion-gating reservoir (redox-IGR) comprising LixWO3 thin film and lithium-ion co... » read more

DW-MTJ Devices For Noise-Resilient Networks For Neuromorphic Computing On The Edge

A technical paper titled "Stochastic domain wall-magnetic tunnel junction artificial neurons for noise-resilient spiking neural networks" was published by researchers at University of Texas at Austin. Abstract: "The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) makes SNNs promising for edge applications that require high energy efficiency. To realize SNNs in har... » read more

SB MOSFET-Based Ultra-Low Power Real-Time Neurons for Neuromorphic Computing (Indian Institute of Technology)

A technical paper titled “Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing” was published by researchers at the Indian Institute of Technology (IIT) Bombay. Abstract: "Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFE... » read more

Recent Developments in Neuromorphic Computing, Focusing on Hardware Design and Reliability

A new technical paper titled "Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies" was published by researchers at Univ. Lyon, Ecole Centrale de Lyon, Univ. Grenoble Alpes, Hewlett Packard Labs, CEA-LETI, and Politecnico di Torino. Abstract "The field of neuromorphic computing has been rapidly evolving in recent years, with an incre... » read more

Split Additive Manufacturing for Printed Neuromorphic Circuits (Karlsruhe Institute of Technology)

A new technical paper titled "Split Additive Manufacturing for Printed Neuromorphic Circuits" was published by researchers at Karlsruher Institut für Technologie (KIT). Abstract: "Printed and flexible electronics promises smart devices for application domains, such as smart fast moving consumer goods and medical wearables, which are generally untouchable by conventional rigid silicon tech... » read more

Spiking Neural Networks: Hardware & Algorithm Developments

A new technical paper titled "Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware" was published by researchers at Purdue University, Pennsylvania State University, and Yale University. Excerpt from Abstract: "In this article, we outline several strides that neuromorphic computing based on spiking neural networks (SNNs) has taken over the recent past, a... » read more

Digital Neuromorphic Processor: Algorithm-HW Co-design (imec / KU Leuven)

A technical paper titled "Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design" was published by researchers at imec and KU Leuven. "In this work, we open the black box of the digital neuromorphic processor for algorithm designers by presenting the neuron processing instruction set and detailed energy consumption of the SENeCA neuromorphic architect... » read more

Solving The Reliability Problem Of Memristor-Based Artificial Neural Networks

A technical paper titled "ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation" was published by researchers at Eindhoven University of Technology, University of Tehran, and USC. Abstract: "Memristor-based in-memory neuromorphic computing systems promise a highly efficient implementation of vector-matrix multiplications, commonly used in artificial neural networks (ANNs). H... » read more

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