River flow: New machine learning methods could improve environmental predictions. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 06 / 210623091247.htm ...

Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

Like everything else associated with machine learning, deep learning, and large language models, the generative AI development process is subject to change, often with little or no notice.

The FDA defines process validation as consisting of three parts: process design (PD), process qualification (PQ), and continued process verification (CPV). The first two stages are discrete—once ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...

The process used to build most of the machine-learning models we use today can't tell if they will work in the real world or not—and that’s a problem.

Machine learning exercises follow a circular pattern. First, data is prepared and cleaned. Next, a data scientist will select an algorithm to use as the basis for the model. Then, a data scientist ...