There are other reasons that help explain the growing use of synthetic data in training AI models. Some things are so scarce or rare that they are barely represented in real data. Rather than letting ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

Adding synthetic human dynamics fundamentally changes digital twins. It shifts them from static models of infrastructure to dynamic simulations that show how people live in the city. By generating ...

How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...

AI-Supercharged Code Reviews: In software engineering, Ford has implemented an AI-assisted "code reviews-as-a-service" ...

In this excerpt from the new book 'Speak Data,' the Wharton professor and best-selling author shares his thoughts on how we ...

A new Swinburne study is addressing a core paradox: if quantum computing is solving problems that cannot be checked by conventional methods, how can we be certain the results are correct? Quantum ...

In 2026 and beyond, I predict that more pharmaceutical companies will use AI in their HCP marketing workflows—namely, ...

Over the 40-year history of the University of Colorado Cancer Center, its investigators have answered many questions about ...

An analysis of Flock audit data from the Waukesha County Sheriff's Department shows vague searches, similar issues as other ...

It would be too ambitious to think that the tall task of dealing with the crisis of pendency in the apex court can be ...