Stepwise regression predicts Arctic sea-ice extent with high accuracy

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
EurekAlert!

Multi-omics AI model boosts preterm birth prediction accuracy to nearly 90%

A recent study developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the potential of AI-driven multi-omics applications in precision obstetrics and ...
techtimes

YouTube Begins Rollout of Age Estimation Model That Determines If User is Under 18

People walk by a YouTube logo, as Google celebrates the 20th anniversary of first video uploaded to YouTube, at the company's corporate headquarters in San Bruno, California, on April 23, 2025.
Medical Xpress

AI model enhances diagnosis accuracy of high-risk thyroid nodules

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a multimodal deep-learning model for predicting the malignancy of ...
SiliconANGLE

Google DeepMind releases highly accurate AI model map of Earth

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, announced the release of AlphaEarth Foundations on Wednesday, a new AI model that can process terabytes of daily satellite data ...
Healio

AI-trained data models may allow for more rapid, accurate detection of neurologic conditions

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...
IEEE

Bearing RUL Prediction Using Composite Health Index-Based Gaussian Process Regression Model With a Dynamic Change Point

Abstract: Predicting the remaining useful life (RUL) of bearings is crucial for system reliability and preventing unexpected shutdowns. Aiming at two critical issues in RUL prediction, the first ...