Jensen Huang · Blackwell · Nvidia · NVIDIA Blog
Reinforcement-learning agents, AI systems that learn by trial and error, can convert computation into new knowledge
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“The next frontier of AI is superlearners, systems that learn continuously from experience,” said Jensen Huang, founder and CEO of NVIDIA.
Key facts
- This work is starting on NVIDIA Grace Blackwell, and will be among the first to explore the upcoming NVIDIA Vera Rubin platform
- The next frontier of AI is superlearners, systems that learn continuously from experience,” said Jensen Huang, founder and CEO of NVIDIA
- That’s the focus of a new engineering-level collaboration between NVIDIA and Ineffable Intelligence, the London-based AI lab founded by AlphaGo architect David Silver in the wake of Ineffable’s
- Reinforcement-learning agents, AI systems that learn by trial and error, can convert computation into new knowledge
Summary
Reinforcement-learning agents, AI systems that learn by trial and error, can convert computation into new knowledge. That’s the focus of a new engineering-level collaboration between NVIDIA and Ineffable Intelligence, the London-based AI lab founded by AlphaGo architect David Silver in the wake of Ineffable’s emergence from stealth last week. Silver is one of the pioneers of reinforcement learning, an approach that has transformed AI research. “Researchers have largely solved the easier problem of AI: how to build systems that know all the things humans already know,” Silver said.