As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

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

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...