Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study.
In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the ...
Diagnostic tool for predictive maintenance in lyophilizers: an anomaly detection algorithm that flags abnormal patterns to cut downtime and costs. Get the essential updates shaping the future of ...
As it becomes more difficult for the US Food and Drug Administration (FDA) to decipher when a series of adverse events could actually be a sign of a more significant problem, the agency is calling on ...
This activity was supported by Contract 2014-14041100003-019 with the Office of the Director of National Intelligence. Any opinions, findings, conclusions, or recommendations expressed in this ...
The majority of Non-Technical Losses (NTL) in power systems are caused by fraud in energy consumption. From the earliest times, detection of fraudulent consumption has been a challenge as it means ...
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