High content screening of cellular phenotypes is a fundamental tool supporting early drug discovery. The term "high content" signifies the rich set of thousands of predefined features (such as size, shape, texture) that are ...
A graph structure is extremely useful for predicting properties of its constituents. The most successful way of performing this prediction is to map each entity to a vector through the use of deep neural networks. One may ...
A team of researchers from the National Research Nuclear University MEPhI, the National Research Center Kurchatov Institute and the Voronezh State University has developed a new learning algorithm that allows a neural network ...
Using novel machine learning techniques, a research team from the Department of Energy's Oak Ridge National Laboratory is teaching electronic devices how to speak for themselves.
Skoltech's Aeronet Lab has developed an algorithm that makes it possible to analyze satellite images of areas affected by fires and other natural disasters and to make a quick assessment of the economic damage. The algorithm ...
Researchers have demonstrated an improved method for audio analysis machines to process our noisy world. Their approach hinges on the combination of scalograms and spectrograms—the visual representations of audio—as well ...
Bioinformatics professors Anthony Gitter and Casey Greene set out in summer 2016 to write a paper about biomedical applications for deep learning, a hot new artificial intelligence field striving to mimic the neural networks ...
Developments in artificial intelligence may help us to predict the probability of life on other planets, according to new work by a team based at Plymouth University. The study uses artificial neural networks (ANNs) to classify ...
In 1996, when a computer won a match against reigning world chess champion Garry Kasparov, it was nothing short of a sensation. After this breakthrough in the world of chess, the board game Go was long considered to be a ...
Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information ...
May 24, 2018
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