For years, anti-virus tools have used behavioural analysis and machine learning to identify rogue programs and unusual user activity.

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

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.

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...

Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...

Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...

Background: Tuberculous meningitis (TBM) complicated by intracranial hypertension requires aggressive neurocritical care, yet the mortality impact of sedative and antipsychotic exposure remains ...

For telcos, the surest AI wins come in their operational heartlands – streamlining customer care, enhancing enterprise services, and turning network data into actionable insights. System support – AI ...