Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Authored by Karthik Chandrakant, this foundational resource introduces readers to the principles and potential of AI. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...