An AI-powered tool is helping researchers uncover genetic clues to rare diseases, potentially accelerating diagnoses and treatments for conditions that affect only a fraction of the population.

Research from Carnegie Mellon University explains what happens when large language models overestimate their own abilities and how humans can build trust.

Carnegie Mellon University in Africa held their 2024 Innovation Summit earlier this year, hosting students from 17 different countries across Africa.

In spring 2024, second-year Entertainment Technology Center (ETC) student Nina Wang led a team of ETC students on " Flow" — a one-of-a-kind project meant to utilize the state-of-the-art facilities on ...

Rashmi Vinayak and Yuanzhi Li have earned 2023 Sloan Research Fellowships in recognition of their research accomplishments. They are among 125 early career researchers from 54 institutions to receive ...

CMU announces three seed grants have been awarded for faculty to further research and develop their proposed generative AI tools for educators.

Nine Carnegie Mellon School of Computer Science faculty members have received Google Academic Research Awards to make education equitable, accessible and effective using artificial intelligence; apply ...

Using their novel Freeform Reversible Embedding of Suspended Hydrogels (FRESH) 3D bioprinting technique, which allows for the printing of soft living cells and tissues, the Feinberg lab has built a ...

Biology has yet to tap into the full benefits of computer simulations, but a new AI foundation model developed by a team of scientists including CMU's Eric Xing hopes to change that.

The Mellon College of Science’s Michael Young and Adrie Fells rose to the occasion when an executive at Dow challenged Carnegie Mellon University to increase the enrollment for the Data Analytics for ...