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SORBA.ai Version 10.0.0

SDE 10th Generation

1. User Interface Enhancements

• Optimized Navigation: Redesigned for easier access to key features.

• Guided Steps & Intuitive Forms: New guides simplify tasks and reduce errors.

• Improved Search & Overview: Faster element location and more detailed resource overviews.

• Streamlined File Management & Exit Warnings: Enhanced file handling and alerts for unsaved changes.

2. Services and Backend Updates

• Data Auto Sync (DAS) Service: Syncs data with MQTT brokers.

• Real-Time Status & Push Notifications

• Enhanced monitoring with live updates.

• Performance Optimization: Faster response times and efficient data management.

• Event-Driven Architecture: Real-time UI notifications for improved responsiveness.

Status Updates

3. Taskflow & Notification Engine Updates

• Improved Deployment Monitoring: Efficient connection status checks during releases.

• Custom Email Integration: Supports Gmail and custom email providers for flexible notifications.

Custom Email Notifications

4. Core System and Script Engine Updates

• New Drivers & Data Publication Features: Support for Mitsubishi PLCs and consistent data publishing.

Mitsubishi PLC Drivers

• Script Engine Enhancements: More control over script execution and local variables support.

• Performance Boosts: Optimized script execution and reduced debugging times.

• Improved Tag Address Protection: Improved protection against tag address violation for Siemens Profinet driver.

• Noise Generator Functionality:The Simulator driver now includes a new noise generator capability.

5. IoT Connector Enhancements

New Handlers & Advanced Data Processing: Improved data flow and processing control.

• Optimized Network Usage: Reduced thread usage for better performance and efficiency.

6. Vision Services Updates

• New Vision Algorithms: Advanced object detection models for real-time and resource-efficient applications.

• Resource Optimization Analytics: Validates efficiency during object detection setups.

7. New Machine Learning Features

• HybridMix Algorithms: Customizable clustering, regression, and forecasting for diverse applications.

• Multi-Objective APC: Allows you to optimize your system with multiple objectives.

• Enhanced AI Model Troubleshooting: Better insights for resolving model-related issues.

8. Multiplatform Deployments

• Docker & VM Installations: Streamlined setup for various environments with Docker and VM options.

• Self-Guided Linux Installation: Easy setup for Ubuntu and Red Hat distributions.

9. Bug Fixes and Stability Improvements

• Numerous Bug Fixes: Enhanced stability, performance, and data handling across all systems.

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