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 ...

Carnegie Mellon University experts are turning that data into insight, using statistics and data science to help professional teams gain a competitive edge.

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

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

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 ...

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 ...

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 ...

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

The XuanTie C950, the latest flagship in Alibaba’s XuanTie RISC-V series, was introduced at the company’s annual ecosystem conference in Shanghai on Tuesday. Designed for high-performance tasks in ...