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May 30, 2025 1 min
Ever taught a robot to walk, only to have it trip over its own feet and blame you for the fall? Welcome to the brave new world where machines are learning to move like us—awkward first but improving at lightening speed. So, how do AI agents master human-like actions? It's a glimpse into our not-so-distant future.
#AI #Robotics #MachineLearning #Automation #TechInnovation #DeepLearning #FutureTech #NeuralNetworks
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Speaker 1 (00:00):
How we as humans merge with our machines. Well, Nvidia
actually wanted to create an AI that could learn to
play Minecraft. So they build what is called an autonomous
AI agent, an AI that doesn't just answer your questions,
but actually can go out and perform complex tasks and
can learn as it does those. It was designed to

(00:22):
become a foundational agent. What Nvidia is doing now is
they are actually taking this AI further developing it so
that they can simulate robots, and these robots can go
out and learn to do things like learn how to
climb stairs, all sorts of different types of stairs, and
then they can simulate different weather conditions. What if the
stairs are icy, so the robots slip, what if the

(00:44):
stairs are covered in water. It's on the computer. They
can run ten thousand or twenty thousand simulations at the
same time to figure out all the different ways their
robot can perform a task. The next thing that Nvidia
did is they took the simulated data and they applied
it to real world robots and they could test what

(01:04):
they learned in the simulation against real life. So this
is the future of how we train robots.
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