Bonsai Machine Learning

Project bonsai is a machine teaching service that combines machine learning calibration and optimization to bring autonomy to the control systems at the heart of robotic arms bulldozer blades.
Bonsai machine learning. Games visual effects robotics machine learning etc. In this video victor shnayder product manager at bonsai talks. Vcpkg forked from microsoft vcpkg c library manager for windows linux and macos cmake 2 581 0 0 0 updated aug 27 2019. Microsoft bonsai simulink toolbox and sample models matlab mit 3 2 0 0 updated jun 17 2020.
Project bonsai is the first service component of microsoft s vision to empower customers to build operate and manage autonomous systems. When preparing to train a brain on the bonsai platform you might realize that you want to. Photo by dan delong for microsoft. Machine teaching overview househeat example.
How people s expertise makes ai even more powerful april 23 2019 jennifer langston mark hammond microsoft general manager for business ai and former bonsai ceo developed a platform that uses machine teaching to help deep reinforcement learning algorithms tackle real world problems. In rl an agent takes actions in an environment getting feedback in the form of reward. Bonsai uses machine learning to abstract the low level mechanics of machine learning to enable subject matter experts to specify and train autonomous systems to accomplish certain tasks. Bonsai combined simulation tools with different machine learning techniques to build a general purpose deep reinforcement learning platform with a focus on industrial control systems.
We are announcing the public preview of project bonsai. Visualization of one iteration on the bonsai platform reinforcement learning rl illustrated here is a machine learning technique for controlling or optimizing a system or process. This is part of bonsai s training video series designed to make you familiar with the bonsai platform and reinforcement learning. Based in berkeley california and an m12 portfolio company bonsai has developed a novel approach using machine teaching that abstracts the low level mechanics of machine learning so that subject matter experts regardless of ai aptitude can specify and train autonomous systems to accomplish tasks.