Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

From fintech innovations to AI-powered governance, personalized jewellery to enterprise transformation, the 6th cohort of ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

Researchers found that long-term driving behavior can reveal early signs of cognitive decline years before clinical diagnosis.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...