Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
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Insurance companies know when you'll die – they use machine learning to predict your expiration
Smartwatch data and AI algorithms help life insurance companies predict mortality with 78% accuracy, potentially affecting ...
Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...
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