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This week on the GeekWire Podcast, we explore the state of the art in robotics and artificial intelligence with Martial Hebert, dean of the Carnegie Mellon University School of Computer Science in Pittsburgh.
A veteran computer scientist in the field of computer vision, Hebert is the former director of CMU's prestigious Robotics Institute. A native of France, he also had the distinguished honor of being our first in-person podcast guest in two years, visiting the GeekWire offices during his recent trip to the Seattle area.
As you'll hear, our discussion doubled as a preview of a trip that GeekWire's news team will soon be making to Pittsburgh, revisiting the city that hosted our temporary GeekWire HQ2 in 2018, and reporting from Cascadia Connect Robotics, Automation & AI conference, with coverage supported by Cascadia Capital. More details soon.
Hosted by GeekWire co-founder Todd Bishop. Edited and produced by Curt Milton, with music by Daniel L.K. Caldwell.
See omnystudio.com/listener for privacy information.
By GeekWire4.8
117117 ratings
This week on the GeekWire Podcast, we explore the state of the art in robotics and artificial intelligence with Martial Hebert, dean of the Carnegie Mellon University School of Computer Science in Pittsburgh.
A veteran computer scientist in the field of computer vision, Hebert is the former director of CMU's prestigious Robotics Institute. A native of France, he also had the distinguished honor of being our first in-person podcast guest in two years, visiting the GeekWire offices during his recent trip to the Seattle area.
As you'll hear, our discussion doubled as a preview of a trip that GeekWire's news team will soon be making to Pittsburgh, revisiting the city that hosted our temporary GeekWire HQ2 in 2018, and reporting from Cascadia Connect Robotics, Automation & AI conference, with coverage supported by Cascadia Capital. More details soon.
Hosted by GeekWire co-founder Todd Bishop. Edited and produced by Curt Milton, with music by Daniel L.K. Caldwell.
See omnystudio.com/listener for privacy information.

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