Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
Science Daily

How sure is sure? Incorporating human error into machine learning

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems. Researchers are developing a way to incorporate one of the ...
Science Daily

Machine learning contributes to better quantum error correction

"Machine learning contributes to better quantum error correction." ScienceDaily. www.sciencedaily.com / releases / 2023 / 09 / 230907105848.htm (accessed December 1, 2025).
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
CU Boulder News & Events

Data Analytics Best Practices: Best Machine Learning Model for Sparse Data

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...
The American Journal of Managed Care

Cost vs Accuracy: Choosing the Best ML Model for Vascular Calcification in CKD

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...
Nanowerk

Machine learning speeds platinum nanocatalyst discovery and stops high temperature sintering

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.