Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

This Research Topic is part of a series of article collections published within Frontiers in Water including: - Emerging Themes in Socio-Hydrology: Digital, ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

For two decades, a Georgia Tech professor has used simple data to track the best teams in college basketball and predict who will win the NCAA Tournament. Joel Sokol, director of the Master of Science ...

Success now depends on achieving the right balance between automation and human expertise—maintaining governance without sacrificing agility and ensuring security at scale. As data ecosystems stretch ...