AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

A low-water-use data center being developed in Evanston, Wyoming, by Prometheus Hyperscale is expanding to Texas. The data center in Evanston is ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

For decades, whether someone could secure a loan often came down to a single number: their credit score. Today, that reality ...

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

Data management tools that provide contextualization, governance and accessibility are the backbone of effective AI-driven ...

It’s not news that AI models will lie. By now most of us have experienced AI hallucinations, or the model confidently giving ...

Nvidia and OpenAI signed a $100 billion agreement on Monday that sounds more like a handshake tailored for algo-driven markets than an actual business necessity. The setup is that Nvidia will sell ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...