Tag Archives: evolutionary algorithms

Evolving Deep Neural Networks

This post is by UT Austin grad student Jason Liang Deep learning has revolutionized the field of machine learning in many ways. From achieving state-of-the-art results in many benchmarks and competitions to effectively exploiting the computational power of the cloud, … Continue reading

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An Evolutionary Computation Perspective at AAAI 2016

This post is by UT Austin grad student Elliot Meyerson  I spent February 12-17 in Phoenix at the 30th AAAI Conference on Artificial Intelligence. AAAI covers artificial intelligence “broadly conceived”, with focus on “traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural … Continue reading

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Evolutionary signal processing and its application for brain information flow modeling

This post is by MSU PhD Candidate Jinyao Yan. There are two aspects of biomedical engineering which attract me: the quest for new knowledge, and its power for fostering innovation and promoting society’s development. These pursuits hold my heart; and I am … Continue reading

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BEACON Researchers at Work: Combining Evolution and Engineering in Aquatic Robots

This week’s BEACON Researchers at Work blog post is by MSU Visiting Scholar René Draschwandtner. Guten Tag, god dag, and good day to all readers. I am René Draschwandtner, a visiting scholar from Salzburg, Austria, although I came to Michigan State … Continue reading

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BEACON Researchers at Work: Evolutionary Optimization and the Open Source Community

This week’s BEACON Researchers at Work blog post is by MSU graduate student Brian Goldman. I teach computers to be better at guess, check, and revise. At least, that is the short version of my research. More precisely, I develop optimization algorithms … Continue reading

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