Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Oracle’s aggressive AI-first infrastructure expansion underpins OpenAI’s Stargate vision, transforming cloud into a core national-scale compute and energy resource. This $300 billion investment ...

Abstract: This paper presents a rolling horizon-based energy exchange in a building-to-building (B2B) grid using a game theory method. The system combines the predictive capability of long-short-term ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.

TEXAS, USA — There is always some “nook or cranny” burning in Texas, the third-most dangerous state for wildfires. As the risk continues to grow exponentially, the Texas A&M Forest Service, the state ...