Android ransomware has emerged as a major threat to mobile ecosystems, leveraging obfuscated payloads and dynamic command-and-control channels to evade conventional detection systems. Existing ...
Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation
One of the most stubborn problems in modern population genetics is not finding evidence of adaptation in the genome, but ...
Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of ...
Machine learning models that promise to detect danger in cryptocurrency markets may be learning something quite different ...
Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells. To solve ...
Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, ...
The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...
Ircam Amplify is the commercial arm of IRCAM-Centre Pompidou, the Paris acoustic and computer-music research institute founded by composer Pierre Boulez and operating since 1977. It launched a ...
Raman spectroscopy combined with machine learning could offer a rapid, non-invasive way to detect skin cancer. Analyzing ...
Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...
Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...
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