Researchers developed a deep reinforcement learning system that trains anthropomorphic robot hands to play piano, using MuJoCo physics engine and MIDI files for simulation. The system achieves high performance by incorporating human fingering patterns and energy optimization, demonstrating significant improvements over baseline methods with an average F1 score of 0.79 across test pieces.
Jane Street introduces Figgie, a fast-paced trading simulation game that teaches market dynamics while providing entertainment value.
Digital simulation recreates the evolution of eyes from basic light-detecting cells by subjecting virtual creatures to survival challenges like navigation and food detection. The experiment demonstrates how different eye types and features like lenses emerge naturally in response to environmental pressures.
NVIDIA announces major developments in general robotics with their Isaac Groot platform, enabling efficient robot training through synthetic motion generation and simulation. The technology combines human demonstrations, digital twins, and advanced AI to create exponential training datasets, while also introducing a new compact AI supercomputer based on the GB110 chip.
Self-play training in simulation has produced a breakthrough in autonomous driving, achieving state-of-the-art performance across multiple benchmarks without using human driving data. Using Gigaflow simulator, the system demonstrated exceptional robustness with an average of 17.5 years of continuous driving between incidents while maintaining naturalistic behavior.