Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

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 ...

SANTA CLARA, CA, Feb. 17, 2026 (GLOBE NEWSWIRE) -- ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

In the age of exponential data growth, organizations face the pressing challenge of managing, storing and extracting value from increasingly complex, diverse and high-velocity datasets. Traditional ...

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