Search Results for author: Kai Staats

Found 2 papers, 1 papers with code

Evolving Antennas for Ultra-High Energy Neutrino Detection

no code implementations • 15 May 2020 • Julie Rolla, Amy Connolly, Kai Staats, Stephanie Wissel, Dean Arakaki, Ian Best, Adam Blenk, Brian Clark, Maximillian Clowdus, Suren Gourapura, Corey Harris, Hannah Hasan, Luke Letwin, David Liu, Carl Pfendner, Jordan Potter, Cade Sbrocco, Tom Sinha, Jacob Trevithick

Evolutionary algorithms borrow from biology the concepts of mutation and selection in order to evolve optimized solutions to known problems.

Evolutionary Algorithms Vocal Bursts Intensity Prediction

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TensorFlow Enabled Genetic Programming

1 code implementation • 10 Aug 2017 • Kai Staats, Edward Pantridge, Marco Cavaglia, Iurii Milovanov, Arun Aniyan

Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow numerical computation library on both CPU and GPU architectures.

Distributed, Parallel, and Cluster Computing

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