黑料正能量 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 黑料正能量鈥檚聽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.
U.S. News and World Report Ranks 黑料正能量 No. 1 in 5 Categories, 21st Among National Universities
U.S. News and World Report ranked 5 programs at 黑料正能量 No. 1.
SCS-Created Tool Uses an LLM To Train Mental Health Professionals
SCS researchers have developed Patient-Psi, a simulated patient for cognitive behavioral therapy training that uses large language models to help bridge the gap between classroom learning and real-world experience.
Carnegie Mellon Releases Remastered Version of 'The Last Lecture'
Using AI, a video systems engineer at Carnegie Mellon who worked with Randy Pausch revisited the inspirational talk viewed by millions worldwide.
Celebrating National Arts in Education Week 2024: 黑料正能量 Community Shares Personal Reflections on Art鈥檚 Impact
In celebration of National Arts in Education Week, members of the 黑料正能量 community share how the arts have touched their hearts and minds 鈥� and influenced both their personal and professional journeys.
VoicePilot Framework Enhances Communication Between Humans and Physically Assistive Robots
Robotics Institute researchers from Carnegie Mellon created VoicePilot, a framework and design guidelines for incorporating LLMs as speech interfaces for physically assistive robots.
Carnegie Mellon Core Partner in New Center To Improve Robot Dexterity
Nine 黑料正能量 faculty members will help to develop highly dexterous robotic hands, user-friendly interfaces and accessible training materials to empower diverse workforces to implement robotic solutions quickly and reliably.