tag: neuromorphic computing

MEMprop: Gradient-based Learning To Train Fully Memristive SNNs
By Technical Paper Link - 04 Jul, 2022 - Comments: 0

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
By Technical Paper Link - 06 Jun, 2022 - Comments: 0

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
By Technical Paper Link - 03 Jun, 2022 - Comments: 0

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
By Technical Paper Link - 23 May, 2022 - Comments: 0

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

Neurosynaptic Device That Mimics Synaptic and Intrinsic Plasticity Concomitantly In a Single cell
By Technical Paper Link - 20 May, 2022 - Comments: 0

New academic paper titled "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse" from researchers at Korea Advanced Institute of Science and Technology (KAIST). Abstract Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of... » read more

Neuromorphic photonic circuit modeling in Verilog-A
By Technical Paper Link - 19 Apr, 2022 - Comments: 0

Abstract "One of the significant challenges in neuromorphic photonic architectures is the lack of good tools to simulate large-scale photonic integrated circuits. It is crucial to perform simulations on a single platform to capture the circuit’s behavior in the presence of both optical and electrical components. Here, we adopted a Verilog-A based approach to model neuromorphic photonic cir... » read more

Memristive synaptic device based on a natural organic material—honey for spiking neural network in biodegradable neuromorphic systems
By Technical Paper Link - 06 Apr, 2022 - Comments: 0

New academic paper from Washington State University, supported by a grant from the National Science Foundation. Abstract: "Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP),... » read more

Neuromorphic chip integrated with a large-scale integration circuit and amorphous-metal-oxide semiconductor thin-film synapse devices
By Technical Paper Link - 01 Apr, 2022 - Comments: 0

New academic paper from Nara Institute of Science and Technology (NAIST) and Ryukoku University. Abstract "Artificial intelligences are promising in future societies, and neural networks are typical technologies with the advantages such as self-organization, self-learning, parallel distributed computing, and fault tolerance, but their size and power consumption are large. Neuromorphic syste... » read more

Research Bits: March 29
By Jesse Allen - 29 Mar, 2022 - Comments: 0

Brain-like AI chip Researchers from Purdue University, Santa Clara University, Portland State University, Pennsylvania State University, Argonne National Laboratory, University of Illinois Chicago, Brookhaven National Laboratory, and University of Georgia built a reprogrammable chip that could be used as the basis for brain-like AI hardware. “The brains of living beings can continuously l... » read more

Experimental photonic quantum memristor
By Technical Paper Link - 27 Mar, 2022 - Comments: 0

Abstract "Memristive devices are a class of physical systems with history-dependent dynamics characterized by signature hysteresis loops in their input–output relations. In the past few decades, memristive devices have attracted enormous interest in electronics. This is because memristive dynamics is very pervasive in nanoscale devices, and has potentially groundbreaking applications ranging... » read more

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