@svpino: I used to work on computer vision models for robots and drones, and nothing is slower than having to run the robot in o…

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Summary

Antioch Robotics announced a $32 million Series A funding round led by GreylockVC to develop digital twins for simulating physical world testing in robotics and drones, aiming to accelerate physical autonomy.

I used to work on computer vision models for robots and drones, and nothing is slower than having to run the robot in order to test your code. This promises to solve that. They will build a digital twin that will simulate the physical world. Digital twins are virtual models of real physical objects or systems that use real-world data to reflect how the real physical object behaves. You can use these digital twins to test everything.
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I used to work on computer vision models for robots and drones, and nothing is slower than having to run the robot in order to test your code.

This promises to solve that.

They will build a digital twin that will simulate the physical world.

Digital twins are virtual models of real physical objects or systems that use real-world data to reflect how the real physical object behaves. You can use these digital twins to test everything.

Antioch (@antiochrobotics): Today, we’re announcing Antioch’s $32 million Series A, led by @GreylockVC with participation from @A_StarVC, @Category_VC, @BoxGroup, @IcehouseVenture, and angels.

While AI has drastically accelerated software development, physical autonomy has been constrained by slow,

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@RemiCadene: Really cool startup :)

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Antioch Robotics announces a $32 million Series A funding round led by Greylock VC to advance AI for physical autonomy.