As governments push for stronger data rights like the “right to be forgotten,” evidence suggests AI may not fully comply, raising new regulatory challenges.

Anthropic has introduced Claude Mythos Preview, its most advanced AI model, improving significantly in reasoning, coding, and ...

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software ...

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Background: Heart failure has traditionally been classified as systolic vs diastolic, however acute heart failure (AHF) hospitalizations, often has various outcomes seen in bedside clinical medicine, ...

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...