Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta research shows. The findings are published in the journal Forest Ecology ...

In this retrospective observational study, we analyzed 248 consecutive patients with TBI treated at Qinghai University Affiliated Hospital between August 2024 and December 2025. Patients were randomly ...

Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Kamil Khadiev and Liliya Safina at the Institute of Computational Mathematics and IT Kazan Federal University have created a quantum algorithm that improves forecasting within Random Forest models for ...

The question that’s stumping top AI researchers isn’t about consciousness or doomsday scenarios. After interviewing dozens of developers at companies including OpenAI, Anthropic, and Meta, Amelia ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Oligosaccharides, polymers of covalently linked monosaccharides, are essential biomolecules mediating diverse biological and physiological processes. Despite their critical roles, the structural ...

Abstract: Timely intervention is important to the management of mental health and the management of the Alzheimer disease. This research paper suggests a machine learning system that combines both ...

ABSTRACT: Meditation offers a controlled behavioral context for probing attention, arousal, and self-regulation. Rather than positioning the present work as a discovery of novel neural signatures, we ...