InfoWorld

Improving annotation quality with machine learning

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Forbes

Before You Can Trust AI And Machine Learning, You Have To Trust Your Data

The transformative power of technology has embarked on an exciting phase. Artificial intelligence (AI) and machine learning (ML) are becoming more thoroughly integrated into business operations, ...
CRN

The 10 Hottest Data Science And Machine Learning Tools Of 2025 (So Far)

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 ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...