Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

A professor and researcher who studies AI and health care analytics explains why AI’s growth will be gradual, and how technical limitations and ethical concerns stand in the way of AI’s widespread ...

The spectrum of data science practitioners who have the experience and skills necessary to develop AI applications has been quite narrow. In 2022, amid a hiring crunch, we’ll see that aperture of ...

In a time of AI hype, innovations in data science and BI continue. It can also be argued that 2024 was the year AI truly went mainstream. Capabilities unimaginable just a few years ago—writing ...

As AI continues to pervade across domains and workloads, and new frontiers emerge, the need for end-to-end data science and AI pipelines that work well with external workflows and components is ...

As Data Science Central Community Editor Kurt Cagle writes, there is talk of a looming AI winter, harkening back to the period in the 1970s when funding for AI ventures dried up altogether.

At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, ...

On Sunday, Musk said his EV company, Tesla will hold a shareholder vote on whether to invest in xAI. Musk did not specify ...

The plan to revolutionize health care by tapping the transformative power of artificial intelligence has advanced to the ...