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Though robots are becoming more capable, training them to move through our world with knowledge that humans intuit is incredibly difficult. But through rethinking the concept of safety, incorporating new kinds of data and finding the value in failure, Andrea Bajcsy, an assistant professor in the Robotics Institute at the Carnegie Mellon University School of Computer Science, is trying to do just that.
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פרקים אחרים בפודקאסט הזה
Welcome to Does Compute, the podcast where we explore how computer science is changing our world, from artificial intelligence and robotics to ethics, policy, and culture. In each episode, we meet the people behind the technology and ask the questions driving their work. Does Compute is produced b…
"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 m…
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 cour…
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 sa…
הצהרה: הפודקאסט והגרפיקה המוטבעים בדף זה הם מ-GeekWire Studios, שהוא רכושו של בעליו ואינו קשור או מאושר על ידי Listen Notes, Inc.
