Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

Over the last few years, the AI sector has been a competitive "bigger is better" race: larger models, more parameters, costly training runs, and enough energy consumption to power small cities.

Did you know that businesses using well-structured data models in Power BI can reduce their data processing time by up to 50%? The key lies in choosing the right schema. Whether you’re leaning towards ...

A new technical paper titled “Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington.

In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...

With the adoption of artificial intelligence (AI) fast accelerating, Singapore says it has taken steps to ensure data centers operating in the country are energy efficient and government data used to ...