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 ...

As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

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 ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

On 24–25 September 2025, Amsterdam’s RAI will host TechEx Europe, a two-day gathering of more than 8,000 professionals and ...

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...

The field of data science has already delivered incredible results in finding business problems and creating models which generate market insights. But bad or failing models can also deliver erroneous ...

LinkedIn Corp. will resume training its generative AI models on information about non-US users after a nearly year-long halt ...