Phys.org

New algorithm rapidly finds anomalies in gene expression data

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.
PharmTech

Anomaly detection algorithm for lyophilization systems

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 ...
Phys.org

CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider

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 ...
Nature

Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information

Deep learning networks have extensively been used to detect multi-element geochemical anomalies linked to different mineral deposits in recent decades. Efficient detection of multi-element geochemical ...
RAPS

FDA Seeks Help Using Algorithms to Detect Adverse Event Anomalies

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 ...
National Academies of Sciences%2c Engineering%2c and Medicine

Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop

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 ...