A global group of 416 scholars has rejected using generative AI in qualitative research, citing major methodological and ethical concerns. Learn why.

New Virtual Personas, expanded AI interviewing, and quantitative-style data visualization give teams innovations that deliver ...

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...

Scientists learn about the brain's inner workings by studying what animals or people do, how they move, react, and make ...

The Ph.D. program at Gallaudet University prepares scholars and practitioners to lead in the design, development, and ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

I’ve received SSHRC grants in the past, and I want to submit a research-creation project for the next round of the Insight ...

The future of VC does not belong solely to instinct-driven operators or strictly data-driven analysts but to the hybrid ...

Tobi is a crypto writer at Investopedia. He aims to simplify the complex concepts of blockchain and cryptocurrencies for the masses. Stella Osoba is the Senior Editor of trading and investing at ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Researchers uncovered how shifting levels of a brain protein called KCC2 can reshape the way cues become linked with rewards, ...

Microbiomes play a vital role in everything from human health to soil fertility and climate regulation. But studying these ...