NVIDIA’s New AI Trained For 10 Years! But How? 🤺 | Summary and Q&A

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July 19, 2022
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NVIDIA’s New AI Trained For 10 Years! But How? 🤺

TL;DR

NVIDIA's AI agents undergo 10 years of training in a virtual gym to become skilled fighters, with the training process condensed into just 10 days using computer simulation.

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Key Insights

  • 🏋️ NVIDIA's AI agents undergo extensive training in a virtual gym to improve their fighting skills.
  • 🥳 The training process, which originally took 10 years, can now be completed in just 10 days using computer simulation.
  • 🧑‍🚒 AI agents gradually improve from basic movements to realistic fight moves over the course of the training.
  • 😒 The use of latent spaces allows the AI agents to switch between different motion types and weave them together seamlessly.
  • 💩 The AI agents not only learn to fall but also learn to recover from random perturbations, such as being hit by boxes.
  • 👻 The controls for the virtual characters are excellent, allowing for precise movements and detailed poses.
  • ❓ The virtual characters' motions are generated and improved through an adversarial process involving a generator and discriminator neural network.

Transcript

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Questions & Answers

Q: How do NVIDIA's virtual characters improve their fighting skills?

NVIDIA's AI agents are fed basic motions and trained in a virtual gym called Isaac, where they continuously practice and hone their skills.

Q: How long does it take for NVIDIA's AI agents to become skilled fighters?

It takes 10 years of training in a virtual world, but when simulated on a powerful machine, the training can be completed in just 10 days.

Q: What is a latent space, and how is it used in NVIDIA's technique?

A latent space is a space where similar kinds of data are placed close to each other. NVIDIA uses a latent space to switch and weave together different motion types that the AI agents have learned.

Q: How are the motions of the virtual characters generated?

The motions are synthesized adversarially using a generator neural network and a discriminator neural network. The networks improve together, and only the motions that fool the discriminator are selected.

Summary & Key Takeaways

  • NVIDIA's AI agents undergo extensive training in a virtual gym to improve their fighting skills.

  • Initial training results show basic movements, resembling constipated warriors.

  • After 10 years of training, the AI agents display impressive and realistic fight moves.

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