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 ...

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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 ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

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 ...

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...