As part of TechCrunch Sessions: Robotics + AI, we are happy to announce a partnership to deliver a brand new course from NVIDIA’s Deep Learning Institute (DLI). Called the NVIDIA Deep Learning for ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...

The AI Trainer marks a tectonic shift as robots move from pre-programmed applications to fully AI-driven tasks.

This course will be a practical introduction to robotic sensing, navigation and machine learning techniques in robotics. The course focuses on bridging the gap between theoretical developments, ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming every behavior by hand, modern robots are increasingly expected to learn ...

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

Robots relying on AI to learn a new task generally require a laborious and repetitious training process. University of California, Berkeley researchers are attempting to simplify and shorten that with ...

Add Yahoo as a preferred source to see more of our stories on Google. Researchers at MIT created an AI-powered simulator capable of generating limitless, realistic training data for robots. The system ...

Researchers at Northwestern University say they have built modular robots that can keep moving even after being cut into ...