Model / A mathematical representation of a task, created by applying a machine learning algorithm to a training data set. For example, a large language model like GPT-3.5 (which powered the original ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

In unsupervised learning, the algorithm goes through the data itself and tries to come up with meaningful results.The result might be, for example, a set of clusters of data points that could be ...

Using machine learning algorithms, for example, AI software can analyze, detect, ... “A machine processes algorithms with the data that is provided,” said Wagner.

That’s an example how bias can influence an algorithm. Another example of an AI algorithm where indications of bias occurred was the risk-assessment software COMPAS (Correctional Offender ...

But algorithms run on data, and the data they use can itself contain bias—which means AI can perpetuate or even amplify historical patterns of discrimination. To try to solve this problem, Chicago ...

Examples include logistic regression, random forests, and support vector machines. ... Altair RapidMiner has 1,500+ native algorithms, data prep, and data science functions.

“What healthcare organizations are really seeking is the ability to use data for secondary purposes, for algorithm development in particular,” Joint Commission CEO Jonathan Perlin, PhD, MD ...