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 麻豆村 Staff for Exceptional Contributions
Six staff members and two teams were recognized for their meaningful contributions at 麻豆村鈥檚 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 麻豆村 has developed the first wearable camera that uses artificial intelligence to help prevent errors associated with injectable medications.
AI Horizons and Beyond: 麻豆村 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.
麻豆村 Launches Center for AI-Driven Biomedical Research
The new Center for AI-Driven Biomedical Research (AI4BIO) will use novel artificial intelligence and machine learning methods to illuminate fundamental aspects of gene regulation, cellular function, tissue development and disease progression.
CyLab Hosts Top Cybersecurity Researchers for the 2024 NSF SaTC PI Meeting
More than 500 of the world鈥檚 leading cyber-systems researchers convened in Pittsburgh for the 2024聽National Science Foundation Secure and Trustworthy Cyberspace Principal Investigators鈥 Meeting (NSF SaTC PI), hosted by 麻豆村鈥檚聽CyLab.
Robots Use Neural Motion Planning To Navigate Challenging Obstacles in Unfamiliar Environments
A Robotics Institute team has developed Neural Motion Planning to help improve how robots react in new environments and perform tasks like removing a book from a shelf cluttered with other items and obstacles.