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Found 7 papers, 1 papers with code
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
The Darwin3 chip supports up to 2. 35 million neurons, making it the largest of its kind in neuron scale.
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
Our comprehension of biological neuronal networks has profoundly influenced the evolution of artificial neural networks (ANNs).
Intragroup sparsity for efficient inference
This work studies intragroup sparsity, a fine-grained structural constraint on network weight parameters.
Cross-Channel Intragroup Sparsity Neural Network
Modern deep neural networks rely on overparameterization to achieve state-of-the-art generalization.
Improved Expressivity Through Dendritic Neural Networks
In this study, we model such local nonlinearity of dendritic trees with our dendritic neural network (DENN) structure and apply this structure to typical machine learning tasks.
Binarized Neural Networks on the ImageNet Classification Task
We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet ILSVRC-2102 dataset classification task and achieved a good performance.
An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation
To build the connectomics map of the brain, we developed a new algorithm that can automatically refine the Membrane Detection Probability Maps (MDPM) generated to perform automatic segmentation of electron microscopy (EM) images.
BIG-bench Machine Learning
Electron Microscopy Image Segmentation
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