DLL hijacking is a common technique in which attackers replace a library called by a legitimate…
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How a machine-learning model in Kaspersky SIEM detected DLL-hijacking incidents
Introduction Our colleagues from the AI expertise center recently developed a machine-learning model that detects DLL-hijacking…
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New machine-learning application to help researchers predict chemical properties | MIT News
One of the shared, fundamental goals of most chemistry researchers is the need to predict a…
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Machine-learning design of ductile FeNiCoAlTa alloys with high strength
The highly heterogeneous microstructure consisting of dual precipitates in the FCC concentrated solid solution (‘matrix’) endows…
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Accelerated enzyme engineering by machine-learning guided cell-free expression
Cell-free DNA assembly and gene expression DNA libraries were created for both wt-McbA and muGFP. wt-McbA…
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Machine-learning analysis tracks the evolution of 16th-century European astronomical thought
Robert Walton’s world map. Drawn in 1626, it includes all recently discovered territories on the Earth…
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