Project Bonsai Preview
A machine teaching service for creating intelligent industrial control systems using simulations
Machine teaching for intelligent control systems
Build and manage autonomous systems that are explainable, auditable, reusable, and trustworthy without needing advanced data science skills. Project Bonsai is available in preview.
Machine teaching service for building intelligence into control systems and optimizing it without knowing data science or AI
Simulator integration supports leading industrial simulators in engineering, manufacturing, energy, robotics, and supply chain
Custom deployment modes to fit your operational needs—on the cloud, at the edge, or on a device
Integrated dashboard to build, train, debug, inspect, and deploy AI models for intelligent control systems
Build intelligent control systems
Help machinery and processes adapt in real time to changing conditions. Use advanced AI techniques like machine teaching and deep reinforcement learning to solve complex problems across manufacturing, process control/optimization, logistics, and energy management.Explore autonomous systems
Create with AI using your expertise
Use your team’s subject matter expertise to accelerate the development of tailored control systems—no data science experience required. Build the AI “brains” that power these autonomous systems through a combination of machine teaching, reinforcement learning, simulation, and deployment capabilities.Learn more about machine teaching
Deploy and manage on your terms
Deploy intelligent controllers to the cloud, at the edge, or on a device—whichever best fits your operational needs—while maintaining control and clear understanding of your autonomous systems.Learn about getting started
Comprehensive security and compliance, built in
- Microsoft invests more than USD 1 billion annually on cybersecurity research and development.
- We employ more than 3,500 security experts completely dedicated to your data security and privacy.
- Azure has more compliance certifications than any other cloud provider. View the comprehensive list.
Project Bonsai resources
Demos and guides
Frequently asked questions about Project Bonsai
Machine teaching is a complementary approach to machine learning. It helps those without AI expertise break a complex problem into simpler tasks and give the AI model important clues about how to find a solution quickly. Machine teaching also makes it easier to understand and audit the autonomous control system’s behavior after the system has been deployed, which is crucial for safety-critical applications.
Traditional controllers operate on a fixed set of instructions. While these systems effectively perform one task at a time, human operators must manually retune machine settings for different scenarios, conditions, or goals. Additionally, existing technologies are capable of focusing on only one optimization goal at a time, such as maximizing throughput or minimizing energy usage.
The platform uses the steps defined in the machine teaching process to inform the deep reinforcement learning models—a machine learning technique in which AI learns by executing decisions and receiving rewards for actions that get it closer to an end goal. Machine teaching accelerates and improves the training process and allows you to reuse the individual steps for other brains.