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Robot news has been coming fast and furious this month. One robot won a half-marathon in Beijing, and others captured a Russian position in Ukraine. And last week, we learned of a robotic arm that ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Researchers have developed an AI-driven robotic system capable of performing cardiac ultrasound scans without human guidance. Using deep reinforcement learning and synthetic training environments, the ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

On top of that, spin introduces enormous complexity. A ball rotating at extreme speeds can curve mid-air and rebound ...

The hybrid system utilizes deep reinforcement learning, a powerful artificial intelligence method for solving complex ...

A research team led by Sony AI developed an artificial intelligence-based robot capable of bringing its A-game to table ...