Tag Archives: Evolutionary Computation

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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Mass Extinctions, Evolution, and…. Robots?

Check out this great video produced by the UT Alumni Association talking about research by BEACONites Joel Lehman and Risto Miikkulainen at UT Austin. Lehman and Miikkulainen published an awesome paper in PLOS ONE looking at evolution after a mass extinction.  I, for one, … 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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Studying the Evolution of Division of Labor with Digital Organisms

This post is by MSU Postdoc Heather Goldsby. Why do you have different types of cells in your body? Why do honeybees perform different roles, including forager, undertaker, nurse, and queen? Why do factory workers perform jobs as specific as … Continue reading

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BEACON Activity in China

BEACON Director Erik Goodman just returned from a 13-day trip to China, where he met with BEACON-collaborating teams in Shanghai’s Tongji University and at Shantou University in Guangdong Province. In Shanghai, the Tongji researchers also met with MSU Horticulture Prof. … Continue reading

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