CMU's EgoTouch Creates Simple Interfaces for Virtual and Augmented Reality
A new tool from researchers in CMU's Human-Computer Interaction Institute could put control for AR/VR environments in the palm of the hand.
CMU, Pitt Researchers Move Forward in 3-Year, $7M DARPA Triage Challenge
Team Chiron, a collaboration between researchers from Carnegie Mellon University and the University of Pittsburgh, will compete in the second round of the DARPA Triage Challenge.
SCS Faculty Receive Google Academic Research Awards
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 Google tools like Gemini to systems and infrastructure problems; and use AI to benefit society.
SCS Researcher Develops Metagenomic Profiling Method
A new k-mer sketching metagenomic profiler allows scientists to analyze genomic data more quickly and precisely than other profilers.
Andy Awards Highlight CMU Staff for Exceptional Contributions
Six staff members and two teams were recognized for their meaningful contributions at Carnegie Mellon University’s 30th Annual Andy Awards ceremony, held Tuesday, October 15, 2024.
Researchers Develop First AI-Enabled Wearable Camera To Detect Drug Errors
A team including a researcher from Carnegie Mellon University has developed the first wearable camera that uses artificial intelligence to help prevent errors associated with injectable medications.
AI Horizons and Beyond: CMU Welcomes Revolution in Human-First AI to Pittsburgh
This week, the steel city hosted innovators, national tech leaders and policymakers for the AI Horizons Pittsburgh Summit.
SCS Researchers Design Models To Help Linguists Reconstruct Ancient Languages
A team of Carnegie Mellon School of Computer Science researchers is using computer models to help reconstruct ancient languages.
Innovative Framework Drives Autonomous Learning and Task Mastery
Researchers at Carnegie Mellon's learning framework demonstrates that robots can independently improve their performance over time, much like children mastering a new skill.