Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

Researchers at City of Hope, and at the Translational Genomics Research Institute (TGen), have developed and tested a machine-learning approach that they suggest could one day enable earlier ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for ...

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis - often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and ...

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

It’s a simple question, but there’s often a complex answer, especially for employees at FedEx, who handle an average of 16.5 million packages a day. Today, machine learning is making getting those ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...