MuJoCo worked with colleagues from Brax and Everyday Robots, fellow groups at Google, to build a unified robotics simulation platform.
Synthiam Exosphere combines AI, human operators to train robots
Synthiam, which develops software to ease robot programming, has released Exosphere. It enables humans to help complete tasks and build machine learning data sets.
Figure Eight Workflows designed to automate AI training data annotation
Figure Eight, an Appen company, released Workflows, which it said can make training machine learning models easier by automating the connection of data processes to human review.
NVIDIA’s Jetson Nano – Democratizing and Disrupting Edge Machine Learning
NVIDIA’s Jetson Nano and Jetson Nano Development Kit. Low cost, yet very powerful, AI optimized compute resources such as NVIDIA’s Jetson Nano brings machine learning to the masses, and also has the potential of replacing the dominant paradigm of centralized, machine learning training and inferencing architectures. Synopsis During his keynote session at the recent…
MIT robot combines vision and touch to learn the game of Jenga
In the basement of MIT’s Building 3, a robot is carefully contemplating its next move. It gently pokes at a tower of blocks, looking for the best block to extract without toppling the tower, in a solitary, slow-moving, yet surprisingly agile game of Jenga. The robot, developed by MIT engineers, is equipped with a soft-pronged…
Machine Learning Personalizes How Soft Exosuits Work
Researchers from the Wyss Institute for Biologically Inspired Engineering and the Harvard John A. Paulson School of Engineering and Applied and Sciences (SEAS) are using machine learning to personalize the controls of soft exosuits. The machine learning algorithm rapidly identifies the best control parameters for the soft exosuit to minimize the amount energy the human…