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

Research Bits: Aug. 8


Speeding NVM encryption Researchers from North Carolina State University propose a way to speed up encryption and file system performance for non-volatile memory (NVM). “NVMs are an emerging technology that allows rapid access to the data, and retains data even when a system crashes or loses power,” said Amro Awad, an assistant professor of electrical and computer engineering at North C... » read more

3 Emerging Technologies: Memristors, Spintronics & 2D Materials


New technical paper titled "Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware" from researchers at University College London and University of Cambridge. Abstract "In a data-driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological pr... » read more

Neuromorphic Computing: Challenges, Opportunities Including Materials, Algorithms, Devices & Ethics


This new research paper titled "2022 roadmap on neuromorphic computing and engineering" is from numerous researchers at Technical University of Denmark, Instituto de Microelectrónica de Sevilla, CSIC, University of Seville, and many others. Partial Abstract: "The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the chall... » read more

Brain-Inspired Computing Device That Programs/RePrograms HW On Demand With Electrical Pulses


Multiple academic and government institutions jointly developed a new computer device that can "program and program computer hardware on demand through electrical pulses," according to this Argonne National Lab news release. The device's key materials are neodymium, nickel and oxygen and is referred to as a perovskite nickelate. This new research paper titled "Reconfigurable perovskite nicke... » read more

Technical Paper Round-Up: July 5


New technical papers added to Semiconductor Engineering’s library this week. [table id=36 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

MEMprop: Gradient-based Learning To Train Fully Memristive SNNs


New technical paper titled "Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays" from IEEE researchers. Abstract "We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger naturally arising voltage spikes. These spikes emitted by memristive dynamics are anal... » read more

Scalable Approach to Fabricate Memristor Arrays at Wafer-scale


New technical paper titled "Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing" from researchers at National University of Singapore and Institute of High Performance Computing, Singapore. Abstract "Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their develop... » read more

Novel Spintronic Neuro-mimetic Device Emulating the LIF Neuron Dynamics w/High Energy Efficiency & Compact Footprints


New technical paper titled "Noise resilient leaky integrate-and-fire neurons based on multi-domain spintronic devices" from researchers at Purdue University. Abstract "The capability of emulating neural functionalities efficiently in hardware is crucial for building neuromorphic computing systems. While various types of neuro-mimetic devices have been investigated, it remains challenging to... » read more

Performing Edge Detection With Oscillatory Neural Networks as a Hetero-associative Memory


New research paper titled "Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection" from LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier. Abstract "The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing me... » read more

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