O TYM ODCINKU
Virtual and augmented reality are becoming more prevalent, but full-immersion still seems far away. Vivian Shen, a doctoral student in Carnegie Mellon University’s Robotics Institute, is exploring how to create truly immersive experiences, from our lips to the pads of our feet.
See omnystudio.com/listener for privacy information.
Język angielski
Stany Zjednoczone
TRANSKRYPCJA 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki Does Compute.
INNE ODCINKI W TYM PODCASCIE
Teaching computer science is an ever-evolving practice, and with the explosion of large language models that can source information in the blink of an eye, Anil Ada knows he doesn't have all the answers. Ada, an associate teaching professor at Carnegie Mellon University, helms one of the core cours…
"Your personal information has been part of a security breach." As more aspects of life are brought online, how do we protect personal information? Sarah Scheffler, an assistant professor at Carnegie Mellon University, discusses how applied cryptography works to protect privacy, and what privacy me…
As artificial intelligence-enabled systems become more integrated, how can computer science ensure these systems prioritize safety and security? Virginia Smith, the Leonardo Associate Professor of Machine Learning at Carnegie Mellon University, discusses the balance between prioritizing AI safety, …
To integrate AI and autonomous systems into someone's work day, you first need to understand their job. That's why Nik Martelaro and Sarah Fox are working with public transit operators and riders from across the country to help design the future of public transit systems, and create a model for saf…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z GeekWire Studios, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
EDYTUJ
Dziękujemy za pomoc w aktualizowaniu podcastowej bazy danych.
