3 citations · 5 across the 3 of their papers we have counts for
4 papers
An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing the Low Power,Stochastic Brain
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta +1
Deep 'Analog Artificial Neural Networks' (ANNs) perform complex classification problems with remarkably high accuracy. However, they rely on humongous amount of power to perform th…
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition
Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe +1
Machine-learning algorithms have shown outstanding image recognition or classification performance for computer vision applications. However, the compute and energy requirement for…
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks
Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar +2
Multilayered artificial neural networks (ANN) have found widespread utility in classification and recognition applications. The scale and complexity of such networks together with…
Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons
Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe +2
Brain-inspired computing architectures attempt to mimic the computations performed in the neurons and the synapses in the human brain in order to achieve its efficiency in learning…