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Found 4 papers, 1 papers with code
A Spiking Binary Neuron -- Detector of Causal Links
Causal relationship recognition is a fundamental operation in neural networks aimed at learning behavior, action planning, and inferring external world dynamics.
Neuromorphic Artificial Intelligence Systems
Modern AI systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the brain.
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
This article proposes a sparse computation-based method for optimizing neural networks for reinforcement learning (RL) tasks.
LORCK: Learnable Object-Resembling Convolution Kernels
Segmentation of certain hollow organs, such as the bladder, is especially hard to automate due to their complex geometry, vague intensity gradients in the soft tissues, and a tedious manual process of the data annotation routine.
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