Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...
Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...
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Machine learning framework boosts residential electricity clustering for demand-response
The National Technical University of Athens (NTUA), one of the DEDALUS scientific partners, has completed a study on grouping residential electricity consumers, based on their historical electricity ...
The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and ...
PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...
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Novel machine learning-based cluster analysis method that leverages target material property
In materials science, substances are often classified based on defining factors such as their elemental composition or ...
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