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07/08/2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
The amount of data processed in the cloud, the development of Internet-o...
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06/20/2020
AM-DCGAN: Analog Memristive Hardware Accelerator for Deep Convolutional Generative Adversarial Networks
Generative Adversarial Network (GAN) is a well known computationally com...
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10/14/2019
Variation-aware Binarized Memristive Networks
The quantization of weights to binary states in Deep Neural Networks (DN...
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09/27/2018
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM
The automated wafer inspection and quality control is a complex and time...
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09/03/2018
Programmable Memristive Threshold Logic Gate Array
This paper proposes the implementation of programmable threshold logic g...
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08/31/2018
Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits
The on-chip implementation of learning algorithms would speed-up the tra...
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08/02/2018
Binary Weighted Memristive Analog Deep Neural Network for Near-Sensor Edge Processing
The memristive crossbar aims to implement analog weighted neural network...
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08/02/2018
Approximate Probabilistic Neural Networks with Gated Threshold Logic
Probabilistic Neural Network (PNN) is a feed-forward artificial neural n...
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07/01/2018
Neuro-memristive Circuits for Edge Computing: A review
The volume, veracity, variability and velocity of data produced from the...
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05/08/2018
Hierarchical Temporal Memory using Memristor Networks: A Survey
This paper presents a survey of the currently available hardware designs...
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03/14/2018
Feature extraction without learning in an analog Spatial Pooler memristive-CMOS circuit design of Hierarchical Temporal Memory
Hierarchical Temporal Memory (HTM) is a neuromorphic algorithm that emul...
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01/01/2018
