AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

Moody's possesses a rare, durable moat with highly visible and enduring cash flows. Click here to find out why MCO is a ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Duke University in North Carolina has launched an initiative to examine the opportunities and challenges that artificial ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

LCGC International spoke to Dave Abramowitz, unified product management and product ownership team for chromatography and ...