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Found 7 papers, 1 papers with code
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
The main results are divided into three parts: a performance comparison, an analysis of how activation functions are implemented, and a report on the complexity of the hardware.
Gap junctions and synchronization clusters in the Thalamic Reticular Nuclei
The Thalamic Reticular Nuclei (TRN) mediate processes like attentional modulation, sensory gating and sleep spindles.
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
In this work, we propose and evaluate a Bayesian optimization-assisted compression, in which the hyperparameters of the compression are chosen to simultaneously reduce complexity and improve performance.
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems
For the first time, recurrent and feedforward neural network-based equalizers for nonlinearity compensation are implemented in an FPGA, with a level of complexity comparable to that of a dispersion equalizer.
High-Performance Deep Learning via a Single Building Block
Deep learning (DL) is one of the most prominent branches of machine learning.
Responses to a Critique of Artificial Moral Agents
The field of machine ethics is concerned with the question of how to embed ethical behaviors, or a means to determine ethical behaviors, into artificial intelligence (AI) systems.
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach
As a result, a VDA in a given situation is mapped onto an argumentation framework in which arguments are defined by the notion of deduction.
