Computer vision, which empowers machines to “see” and interpret the world through images and videos, often takes a backseat to other AI advancements—but it’s a vital piece of the larger AI puzzle.
In this episode of Invisible Machines, Robb and Josh delve into the world of computer vision with Dr. Jason Corso, Professor of Robotics at the University of Michigan and Co-Founder and Chief Science Officer of Voxel51—which is backed by Bessemer Venture Partners and is the leading open-source software framework for developing computer vision datasets and models.
The discussion unpacks the challenges and opportunities of working with massive datasets and highlights powerful tools for building robust computer vision models capable of processing and making sense of vast amounts of visual information.
Beyond the technical aspects, the episode explores the transformative potential of integrating computer vision into multi-agent systems. By adding vision’s contextual awareness to these frameworks, organizations can unlock new levels of automation and efficiency, creating richer experiences for both customers and employees.
Tune into this In Action episode with Jason Corso to discover how computer vision is powering the next wave of AI innovation.
