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Nvidia chip export loophole clouds US-China AI summit talks

An investigative report on a blacklisted Chinese server maker’s American subsidiary, which has freely exported Nvidia’s most advanced artificial intelligence (AI) chips through a loophole in Washington’s Entity List rules, has added fresh uncertainty to a planned US-China AI summit set for this month. The talks, expected in mid-September, would be the first official AI […] The post Nvidia chip…

Nvidia chip export loophole clouds US-China AI summit talks

We haven't written up this one. Asia Times has the full story — the link below goes straight to it.

Read the original at asiatimes.com →

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Sim-to-Real Transfer for Physical AI Robots

Sim-to-Real Transfer for Physical AI Robots A policy that hits 95% success in simulation and 20% on the real robot is one of the most common — and most frustrating — outcomes in robot learning.

  • Sim-to-real gap arises from visual, dynamics, and sensing/latency differences.
  • System identification involves measuring real robot and tuning simulation parameters.
  • Progressive validation strategy uses multiple evaluation checkpoints.

Domain Randomization for Robust Robot Learning

Domain Randomization for Robust Robot Learning Domain randomization is the idea that, instead of trying to perfectly match simulation to reality, you randomize simulation parameters widely enough that…

  • Domain randomization enhances robot learning robustness in simulation.
  • Trains policy on diverse simulated scenarios with varied conditions.
  • Improves transferability to real-world applications by handling unexpected challenges.

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