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05/17/2023
A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning
Works in quantum machine learning (QML) over the past few years indicate...
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05/17/2023
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU
Facial Expression Recognition (FER) plays an important role in human-com...
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04/18/2023
Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units
Tensor processing units (TPUs), specialized hardware accelerators for ma...
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04/18/2023
IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures
With the increased attention to memristive-based in-memory analog comput...
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10/10/2022
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware
As the technology industry is moving towards implementing tasks such as ...
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10/02/2022
Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures
Conventional in-memory computing (IMC) architectures consist of analog m...
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10/02/2022
A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits
With the increased attention to memristive-based in-memory analog comput...
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07/25/2022
Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware
In this paper, we develop four spiking neural network (SNN) models for t...
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04/21/2022
MRAM-based Analog Sigmoid Function for In-memory Computing
We propose an analog implementation of the transcendental activation fun...
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01/29/2022
Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures
Fully-analog in-memory computing (IMC) architectures that implement both...
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10/19/2021
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
Current state-of-the-art methods of image classification using convoluti...
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05/24/2021
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
In this paper, we develop an in-memory analog computing (IMAC) architect...
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12/04/2020
A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses
In this paper, spin-orbit torque (SOT) magnetoresistive random-access me...
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09/22/2020
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
In this paper, we utilize deep convolutional neural networks (CNNs) to c...
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06/01/2020
SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures
In this paper, the intrinsic physical characteristics of spin-orbit torq...
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05/02/2020
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Energy-efficient methods are addressed for leveraging low energy barrier...
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01/08/2019
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
In this paper, a spintronic neuromorphic reconfigurable Array (SNRA) is ...
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11/28/2018
