To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

On September 12, at the 2025 Inclusion Bund Conference’s forum on "Data Meets AI: The Dual Engines of the Intelligent Era," ...

This new article publication from Acta Pharmaceutica Sinica B, discusses an AI-integrated quality prediction and diagnostics framework that could transform small-sample pharmaceutical manufacturing ...

The Government Accountability Office has developed a framework that can help the Department of Veterans Affairs, along with ...

We published the new NHS Oversight Framework 2025/26 in June 2025 and have assessed NHS trust performance against this ...

The key performance indicators' (KPIs) guiding principles focus on clarity, relevance, consistency and accountability, while ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

NIRF aims to provide an Indian alternative to global rankings, but concerns about methodology and data manipulation persist.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

There is an axiom—updated in the early 2000s—that says that anything asserted without evidence can also be dismissed without ...

Andrew Oriss explains how the UK government's 2025 Construction Products Reform Green Paper will reshape timber specification ...