AI adjusts for gaps in citizen science data
Citizen science is a boon for researchers, providing reams of data about everything from animal species to distant galaxies.
Citizen science is a boon for researchers, providing reams of data about everything from animal species to distant galaxies.
Ecology
Jan 28, 2019
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10
David Crandall is an associate professor in the School of Informatics, Computing and Engineering at Indiana University Bloomington. He, Sara Skrabalak and Martin Swany are the first IU researchers whose work is being advanced ...
Computer Sciences
Jan 21, 2019
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Doctors in intensive care units face a continual dilemma: Every blood test they order could yield critical information, but also adds costs and risks for patients. To address this challenge, researchers from Princeton University ...
Engineering
Jan 16, 2019
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Understanding earthquakes is a challenging problem—not only because they are potentially dangerous but also because they are complicated phenomena that are difficult to study. Interpreting the massive, often convoluted ...
Earth Sciences
Jan 4, 2019
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Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...
Computer Sciences
Dec 28, 2018
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152
Bioinformatics researchers at Heinrich Heine University Düsseldorf (HHU) and the University of California at San Diego (UCSD) are using machine learning techniques to better understand enzyme kinetics and thus also complex ...
Biotechnology
Dec 27, 2018
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43
This week, educators, students and the public around the world are participating in Computer Science Education Week by organizing and leading one-hour coding tutorials.
Education
Dec 4, 2018
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A computer model developed at the University of Wyoming by UW researchers and others has demonstrated remarkable accuracy and efficiency in identifying images of wild animals from camera-trap photographs in North America.
Plants & Animals
Nov 27, 2018
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A research team from the RIKEN Center for Advanced Intelligence Project (AIP) has successfully developed a new method for machine learning that allows an AI to make classifications without what is known as "negative data," ...
Machine learning & AI
Nov 26, 2018
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101
Producing research outputs that have computational novelty and contributions, as well as biological importance and impacts, is a key motivator for computer scientist Xin Gao. His Group at KAUST has experienced a recent explosion ...
Molecular & Computational biology
Oct 16, 2018
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