Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular ...

What if you could cut your research time in half while uncovering insights you might have otherwise missed? In the ever-evolving world of academia, where deadlines loom and the pressure to publish is ...

Stanford faculty across disciplines are integrating AI into their research, balancing its potential to accelerate analysis against ethical concerns and interpretive limitations.

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Yet this shift raises a tougher question: can AI really capture the hesitation, emotion, and contradictions that often reveal what users think and feel? Maksim Kozlov That's the problem space Maksim ...

Researchers at Rochester Institute of Technology developed new artificial intelligence techniques to extract and visualize information from standard-of-care biomedical data, providing a means for ...

As businesses race to embed AI into every corner of their operations, the real challenge isn’t in using the technology but in using it wisely. Not every process benefits from automation or predictive ...

Ali Shiri does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...