Google DeepMind has a new AI model that can direct robotic tasks it was never trained to perform. Named RT-2, the model learns from web and robotics data. It then turns this information into simple instructions for machines. In tests, the model was asked to take actions never seen in the robotic data, such as placing oranges in a matching bowl. To follow these commands, the system had to translate knowledge from web-based data. According to DeepMind, the model had a 62% success for these operations — double that of its predecessor, RT-1. “Just like language models are trained on…
This story continues at The Next Web https://ift.tt/ZzxaOWR
Read full article: The Next Web
Comments
Post a Comment