research
∙
07/17/2023
Differentiable Transportation Pruning
Deep learning algorithms are increasingly employed at the edge. However,...
share
research
∙
09/28/2022
On the visual analytic intelligence of neural networks
Visual oddity task was conceived as a universal ethnic-independent analy...
research
∙
10/04/2021
Towards efficient end-to-end speech recognition with biologically-inspired neural networks
Automatic speech recognition (ASR) is a capability which enables a progr...
research
∙
09/15/2020
Short-term synaptic plasticity optimally models continuous environments
Biological neural networks operate with extraordinary energy efficiency,...
research
∙
07/24/2020
Online Spatio-Temporal Learning in Deep Neural Networks
Biological neural networks are equipped with an inherent capability to c...
research
∙
03/25/2020
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
Deep neural networks (DNNs) have surpassed human-level accuracy in a var...
research
∙
03/05/2020
Compiling Neural Networks for a Computational Memory Accelerator
Computational memory (CM) is a promising approach for accelerating infer...
research
∙
06/08/2019
5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory
In-memory computing is an emerging computing paradigm that could enable ...
research
∙
05/28/2019
Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
Spiking neural networks (SNN) are artificial computational models that h...
research
∙
01/11/2019
Low-Power Neuromorphic Hardware for Signal Processing Applications
Machine learning has emerged as the dominant tool for implementing compl...
research
∙
12/17/2018
Deep Networks Incorporating Spiking Neural Dynamics
Neural networks have become the key technology of Artificial Intelligenc...
research
∙
06/17/2017
