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

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

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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.

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

Introduction to Microsoft Data and Analytics Certification Path In today’s data-driven world, organizations heavily rely on ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

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

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 ...

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 ...