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Eureqa

Eureqa is a proprietary A.I.-powered modeling engine originally created by Cornell's Artificial Intelligence Lab and later commercialized by Nutonian… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Grow and graft genetic programming (GGGP) evolves more than 50000 parameters in a state-of-the-art C program to make functional… Expand
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2017
2017
This paper presents the design of a soft four degree-of-freedom load cell that is robust and light-weight and can be integrated… Expand
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2015
2015
This paper presents and discusses a method of generating encryption algorithms using neural networks and evolutionary computing… Expand
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2014
2014
A comprehensive spectral analysis of both the solar background magnetic field (SBMF) in cycles 21-23 and the sunspot magnetic… Expand
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2013
2013
Symbolic regression (SR) is a well studied method in genetic programming (GP) for discovering free-form mathematical models from… Expand
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2012
2012
servation of energy. Eureqa's creators, Cornell engineer and computer scientist Hod Lipson and then-graduate student Michael… Expand
2011
2011
Aircraft conceptual design often focuses on unconventional configurations like for example forward swept wings. Assessing the… Expand
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2011
2011
A detailed characterization of the human brain, its structural and functional underpinnings, remains on the frontier of modern… Expand
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Review
2010
Review
2010
  • R. Dubcáková
  • Genetic Programming and Evolvable Machines
  • 2010
  • Corpus ID: 36698573
The Eureqa software, sometimes called the robot scientist [1, 2], was developed at the Computational Synthesis Lab at Cornell… Expand
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2009
2009
In this paper, we present a Natural Language Processing (NLP) based Multi-document Question Answering system (EUREQA) which… Expand
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