Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

If only they were robotic! Instead, chatbots have developed a distinctive — and grating — voice. Credit...Illustration by Giacomo Gambineri Supported by By Sam Kriss In the quiet hum of our digital ...

Many central banks make policy decision collectively in the form of a committee. With the increased public communications of policy actions, wording over policy statements became an important tool for ...

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States The study used an ecologic design with ...

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

The studies featured in this Research Topic highlight advancements in Arabic NLP and introduce innovative approaches within this field. The following subsections provide a concise overview of each ...

Abstract: Tactics and techniques information in Cyber Threat Intelligence (CTI) represent the objectives of attackers and the means through which these objectives are achieved. The classification of ...