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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
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
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
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
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
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
BEACON Researchers at Work: Teaching a Robot to Learn
This week’s BEACON Researchers at Work blog post is by University of Idaho graduate student Travis DeVault. I imagine it would be difficult to find someone working in the field of computer science that did not start with a love … Continue reading
BEACON Researchers at Work: Solar and geomagnetic activity forecasting using evolved Markov networks: Darwin vs. space weather hazards
This week’s BEACON Researchers at Work blog post is by MSU graduate student Masoud Mirmomeni. “Space Weather” hazards have achieved a great international scientific and public importance in recent years due to their catastrophic effects on modern technologies such as … Continue reading
BEACON Researchers at Work: Evolution and Software Engineering
This week’s BEACON Researchers at Work blog post is by MSU graduate student Erik Fredericks. I spent several years in the automotive industry as both a software developer and project manager, developing advanced systems that assisted in preventing accidents. These … Continue reading
BEACON Researchers at Work: Evolving Bio-Inspired Robots
This week’s BEACON Researchers at Work post is by Michigan State University graduate student Jared Moore(@j_redmmoore). If you had asked me during my undergrad years what a computer scientist did, I’m not sure I would’ve been able to give you … Continue reading