Lens uses genomic language models to detect antibiotic resistance genes from DNA sequences, performing especially well on long-read data and on some ARGs poorly represented in reference databases.

Prediction markets are not a sportsbook with different branding. The contract structure is different, the margin economics are different, and regulators treat them as a separate product category. For ...

Scientists hope this new discovery will help explain other mysteries, including why we don’t see more of these binary pairs.

A research team at Mohamed bin Zayed University of Artificial Intelligence published a finding in April 2026 that has gained traction in engineering circles for reasons that go beyond its headline ...

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, making early and accurate diagnosis essential for improving patient outcomes.

Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...

The chloroplast, a living relic of an ancient endosymbiotic interaction between a microalga and a microbe and the principal subcellular organelle responsible for biological CO 2 assimilation, is ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: Vision transformers have demonstrated remarkable performance in hyperspectral image classification tasks. However, their complex computational mechanisms and excessive parameterization ...

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...

1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...