Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like resistivity or thermal conductivity are a starting point, but these ...

International exposure in a multicultural, cutting-edge environment. Design and develop new techniques to compress Large ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

AI software development trends 2026. AI agents become standard in Enterprise systems, natural language becomes default ...

You will be redirected to our submission process. Integrating data and models is essential for advancing our understanding and management of water resources in an era of rapid environmental change.

Masai, in collaboration with I-Hub IIT Patna, has introduced a four-month online certification program in Applied Artificial ...