Marylee Williams is a journalist based in Pittsburgh, Pennsylvania, writing for 90.5 WESA. With a focus on local news, Marylee covers a range of topics including legislative developments, public safety issues, healthcare, education, and community initiatives. Her reporting aims to provide in-depth coverage of issues that directly impact the residents of Pittsburgh and the surrounding areas.
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By: Marylee Williams
Researchers at Carnegie Mellon University's Robotics Institute (RI) have developed a robotic system that interactively co-paints with people. Collaborative FRIDA (CoFRIDA) can work with users of any artistic ability, inviting collaboration to create art in the real world.
By: Marylee Williams
Plans to foster sustainable, community-oriented growth as software reliance grows
By: Marylee Williams, Peter Kerwin
Media Inquiries Name Aaron Aupperlee Title School of Computer Science Email Phone 412-268-9068
By: Marylee Williams, Aaron Aupperlee
Media Inquiries Name Peter Kerwin Title University Communications & Marketing Email Phone 412-268-1151
By: Marylee Williams
Team Chiron to use robotics, AI, sensors to detect severe injuries in mass casualty events
By: Marylee Williams
Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease.
By: Marylee Williams
Media Inquiries Name Aaron Aupperlee Title School of Computer Science Email Phone 412-268-9068
By: Marylee Williams
Media Inquiries Name Aaron Aupperlee Title School of Computer Science Email Phone 412-268-9068 Therapists in training must learn how to identify markers of certain mental illnesses during patient sessions. Role-playing scenarios are critical for learning this skill, but limited resources and time mean that the students' peers often stand in as patients, which can lead to problems when trainees transition to real-world sessions.
By: Marylee Williams
Media Inquiries Name Aaron Aupperlee Title School of Computer Science Email
November 13, 2024 This article has been reviewed according to Science X's editorial process and policies Editors have highlighted the following attributes while ensuring the content's credibility:
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