Nonstationary processes and signals generated by nonlinear dynamics are ubiquitous in real life. Their time-frequency analysis and features extraction can help in solving open problems in many fields ...
The present study investigates the use of algorithm selection for automatically choosing an algorithm for any given protein–ligand docking task. In drug discovery and design process, conceptualizing ...
Bayardo Jr., R. J.; Schrag, R. C. Using CSP look-back techniques to solve real world SAT instances. In: Proc. of the 14th National Conf. on Artificial Intelligence ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...
A new federal study has found that many of the world’s top facial recognition algorithms are biased along lines of age, race, and ethnicity. According to the study by the National Institute of ...
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