Spotting financial statement fraud is crucial. Learn key signs and detection methods to protect your investments from risky ...
NBC News asked Grok in its standalone app, the Grok X tab and website to transform a series of photos of a clothed person who ...
Abstract: In this study, the focus is to use the t-distributed Stochastic Neighbor Embedding (t-SNE) technique for identifying outliers from high dimensional data sets. To this end, the study proposes ...
Abstract: real-world IoT data analysis tasks, such as clustering and anomaly event detection, are unsupervised and highly susceptible to the presence of outliers. In addition to sporadic scattered ...
Hosted on MSN
How police detect mobile phone use while driving
Mobile phone detection cameras are now being introduced on UK roads. This video explains how the technology works, what it can detect, and how police use it to identify drivers using phones behind the ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback