To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains ...

A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial ...

A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial ...

Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory tested current large language models against ...

While the world focuses on the power consumption of massive AI data centers, researchers at the University of California, ...

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 ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...

Quantum circuits are supposed to gain power as they grow longer, but noise changes the picture. A new study finds that earlier steps in these circuits gradually lose their impact, with only the final ...