Results 31 to 40 of about 572 (57)
Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?
Humans have created artificial intelligence (AI), not the other way around. This statement is deceptively obvious. In this note, we decided to challenge this statement as a small, lighthearted Gedankenexperiment.
Bilokon, Paul Alexander
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Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
Adversarial examples, designed to trick Artificial Neural Networks (ANNs) into producing wrong outputs, highlight vulnerabilities in these models. Exploring these weaknesses is crucial for developing defenses, and so, we propose a method to assess the ...
Antunes, Nuno +2 more
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Deep Learning-Based Operators for Evolutionary Algorithms
We present two novel domain-independent genetic operators that harness the capabilities of deep learning: a crossover operator for genetic algorithms and a mutation operator for genetic programming.
Elyasaf, Achiya +2 more
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This study explores the application of evolutionary generative algorithms in music production to preserve and enhance human creativity. By integrating human feedback into Differential Evolution algorithms, we produced six songs that were submitted to ...
Ellis, Caroline, Kilb, Justin
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Neuroevolving Electronic Dynamical Networks
Neuroevolution is a powerful method of applying an evolutionary algorithm to refine the performance of artificial neural networks through natural selection; however, the fitness evaluation of these networks can be time-consuming and computationally ...
Whitley, Derek
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Towards Physical Plausibility in Neuroevolution Systems
The increasing usage of Artificial Intelligence (AI) models, especially Deep Neural Networks (DNNs), is increasing the power consumption during training and inference, posing environmental concerns and driving the need for more energy-efficient ...
Cortês, Gabriel +2 more
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Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
The NeuroEvolution of Augmenting Topologies (NEAT) algorithm has received considerable recognition in the field of neuroevolution. Its effectiveness is derived from initiating with simple networks and incrementally evolving both their topologies and ...
Cheng, Ran +4 more
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Some of the next articles are maybe not open access.
A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks
IEEE Transactions on Cybernetics, 2021Yao Zhou, Gary G Yen, Zhang Yi
exaly