This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

This special issue focuses on the latest research progress in 6G technology development, standard formulation, and engineering practice, based on our previous special issue titled 6G Requirements, ...

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

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 spent the last week of March 2026 in San Francisco talking to CTOs, CPOs, and engineering leaders from companies of every ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

Combinatorial chemistry has been widely adopted by the pharmaceutical industry in the past decade. However, owing to perceived “failures” with this technology, the pharmaceutical industry has been ...

Mediagenix announced enhancements to its Content Personalization solution designed to improve content discovery and viewer ..