A new AI benchmark reveals that top models score under 1% while humans hit 100%, raising serious questions about whether AGI ...

A new AI system called LATENT helps a humanoid robot react faster on the tennis court by learning from imperfect human motion ...

AI initiatives rarely fail because of model quality. They fail because the underlying data systems were never designed for reliability, context retrieval, or operational consistency.

Explore how SQL Server 2025 reshapes the modern data platform with AI-ready capabilities, developer-first enhancements, hybrid modernisation and practical upgrade readiness guidance. For many years, ...

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...

Reliance, Adani, Tata and Big Tech firms including Google, Microsoft and Amazon have announced over $250 billion in India data centre investments since January 2025.(Pixabay) A new employment engine ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

For much of the past two years, the conversation around artificial intelligence has centered on one fear: that machines would soon start replacing white-collar workers at scale. But new labor market ...

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 ...