Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

The duel is age-old: on one side, cold, methodical and exhaustive ‘calculation’; on the other, the decision-maker’s dazzling intuition, that often indefinable ‘flair’. Since the advent of Big Data ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

Think for a moment about how an organization makes a decision. First come the facts, the data that will inform the decision. Using these facts, someone formulates alternative courses of action and ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

"It’s not personal, it’s business." That phrase might as well have been a lullaby for generations of executives who slept soundly through the ethical consequences of their decisions. For decades, it ...