Nvidia researchers have achieved a major leap in robotic dexterity thanks to Eureka, an AI agent that allegedly can teach bots complex skills like pen-spinning tricks as adroitly as humans. The new technique builds on recent advances in large language models such as OpenAI’s GPT-4 and leverages generative AI to autonomously write sophisticated reward algorithms that enable robots to learn via trial-and-error reinforcement learning. This approach has proven over 50% more effective than human-authored programs. Nvidia has also open-sourced SteerLM, which trains AI assistants by having them practice conversations and providing feedback on the assistant’s responses. This helps make AI more beneficial for real-world applications. These developments are pushing the boundaries on both hardware and software fronts, and could lead to a future where AI innovates alongside us. #Robotics #AI #MachineLearning #Innovation
You can read more about this topic here: Decrypt: Robot Hands Can Match Humans’ Dexterity With New AI Smarts, Claims Nvidia
