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

Review of Methods to Design Secure Memristor Computing Systems

A technical paper titled "Review of security techniques for memristor computing systems" was published by researchers at Israel Institute of Technology, Friedrich Schiller University Jena (Germany), and Leibniz Institute of Photonic Technology (IPHT). Abstract "Neural network (NN) algorithms have become the dominant tool in visual object recognition, natural language processing, and robotic... » read more

2D-Materials-Based Electronic Circuits (KAUST and TSMC)

A special edition article titled "Electronic Circuits made of 2D Materials" was just published by Dr. Mario Lanza, KAUST Associate Professor of Material Science and Engineering, and Iuliana Radu, corporate researcher at TSMC. This special issue covers 21 articles from leading subject matter experts, ranging from materials synthesis and their integration in micro/nano-electronic devices and c... » read more

Fabricating FeFET Devices with Silicon-Doped Hafnium Oxide As A Ferroelectric Layer

A new technical paper titled "Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimization in HfO2-Based FeFETs for In-Memory-Computing Applications" was published by researchers at Fraunhofer IPMS, GlobalFoundries, and TU Bergakademie Freiberg. Abstract (partial) "This article reports an improvement in the performance of the hafnium oxide-based (HfO2) ferroelectric... » read more

L-FinFET Neuron For A Highly Scalable Capacitive Neural Network (KAIST)

A new technical paper titled "An Artificial Neuron with a Leaky Fin-Shaped Field-Effect Transistor for a Highly Scalable Capacitive Neural Network" was published by researchers at KAIST (Korea Advanced Institute of Science and Technology). “In commercialized flash memory, tunnelling oxide prevents the trapped charges from escaping for better memory ability. In our proposed FinFET neuron, t... » read more

Biocompatible Bilayer Graphene-Based Artificial Synaptic Transistors (BLAST) Capable of Mimicking Synaptic Behavior

This new technical paper titled "Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing" was published by researchers at The University of Texas at Austin and Sandia National Laboratories. Abstract "CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to para... » read more

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