machine learning

Researchers are exploring the use of generative AI to help electrical and power engineers with daily tasks.

Texas A&M engineers are using machine learning to help automate the ship-landing process by mimicking a helicopter pilot’s behavior.

A new research project will explore the unprecedented tools and processes now available through machine learning.

Dr. Na Zou is developing a data-centric fairness framework to eliminate or reduce bias and promote data quality.

Texas A&M researchers are using machine-learning techniques to optimize polymers needed for metal-free, recyclable, organic batteries.

A Texas A&M researcher will lead a team tasked with developing deep-learning methods to detect telltale signs of the disease lurking within images produced by MRIs and PET scans.

The new Texas A&M initiative brings together an interdisciplinary group of experts to use data for social healing, equity and a more inclusive future.

Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity.

A Texas A&M-led research team developed a system that uses machine learning to improve the flow of traffic at intersections.

A machine learning algorithm developed by Texas A&M researchers could quickly identify life-threatening situations through social media posts.