The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...