Artificial intelligence boosters predict that AI will transform life on Earth for the better. Yet there's a major problem: ...

Bidgely solidified its position as the premier provider of machine learning (ML) and artificial intelligence (AI) solutions for the utility industry in 2025, driven by the evolution of its journey ...

The controversy began when MeitY flagged specific instances where Grok allegedly bypassed safety filters to produce ...

Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the largest pharmaceutical organization, describing the digital transformation ...

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

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

Abstract: Existing machine learning methods for retail product sales forecasting often rely on their own time series data and tend to ignore the correlation between the target retail product and other ...