Machine teaching Project Bonsai comes to public preview

by Don Sharpe
Don Sharpe
Don Sharpe
Don has been writing professionally for over 10 years now, but his passion for the written word started back in his elementary school days. His work has been... read more
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  • Microsoft announced the availability of machine teaching Project Bonsai in public preview.
  • The complementary technique fast-tracks the ML process for autonomous, smart control systems.
  • Read our complete coverage of this year's Build event in our Microsoft Build 2020 Hub.
  • For insights into AI and ML, be sure to check out our Artificial Intelligence section.
Project Bonsai and Moab

Microsoft announced the availability of machine teaching Project Bonsai in public preview. In a day of many firsts, the company also introduced project Moab.

Project Bonsai pushes the frontier of AI to a point where intelligent control systems do not rely on data alone to solve problems. The technology is targeted at autonomous industrial robots.

Introduction of machine teaching Project Bonsai

Traditional AI agents use machine learning (ML) to become smart to the point of solving different kinds of problems. They learn based on data collected autonomously.

But machine teaching introduces human input in the learning process. For Microsoft, the goal is to enable end-users to develop and use autonomous control systems.

Machine teaching enables the ability to incorporate knowledge from experts rather than extracting knowledge from data alone. Through machine teaching, developers and engineers can specify desired outcomes or behaviors, concepts to be taught, and safety criteria that must be met.

How Project Bonsai works

Machine teaching is not the opposite of ML. Instead, it is a complementary technique that fast-tracks the ML process for AI agents.

With Project Bonsai, experts, such as engineers, break a problem into easier modules or tasks. Then, they teach ML models how to find a solution faster.

The machine teaching approach has multiple advantages over ML alone, according to Microsoft.

For starters, it enables professionals in specific fields to build autonomous systems without having to be AI experts. Similarly, the approach allows users to develop a perfect grasp of how the AI agents work.

Project Moab

Project Moab is a robot that is essential in the implementation of Bonsai. As such, its purpose is enabling engineers and developers to learn how to build AI-powered control systems with machine teaching.

Machine teaching Project Bonsai is a futuristic idea that has positive implications for autonomous industrial systems.

If you have any questions or suggestions about AI systems, feel free to leave them in the comments section below.


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