AI Trace
Confirmed AI Use
20 sources cited·Reviewed and published by 1 editor·View edit history

AI Usage at a Glance

2Data Analysis
4Productivity
1Customer Svc

Timeline

Nov 7, 2023

Customer Svc

Practice documented: MathWorks offers the MATLAB AI Chat Playground, a publicly accessible AI chatbot built on OpenAI's models that answers MATLAB-related technical questions and generates MATLAB code. It launched in November 2023 and is available to all MATLAB Central community members.

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Jan 1, 2024

Data Analysis

Practice documented: MathWorks offers AI-assisted image and video labeling tools in its Computer Vision Toolbox, using the Segment Anything Model (SAM 2) and Grounding DINO to automatically generate pixel-level labels for training deep learning models. These tools are available to licensed users of the toolbox.

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Jan 1, 2024

Data Analysis

Practice documented: MathWorks offers the Statistics and Machine Learning Toolbox, a product that allows users to build, train, and deploy predictive machine learning models using interactive apps and programmatic tools directly in MATLAB. It has been available for many years and is continuously updated.

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Jan 1, 2025

Customer Svc

New evidence: About - MATLAB AI Chat Playground - MATLAB Central

Evidence AddedView practice →

Oct 7, 2025

Productivity

Practice documented: MathWorks offers MATLAB Copilot, a generative AI assistant embedded in the MATLAB desktop environment that helps engineers and scientists write, understand, debug, and test MATLAB code. It was launched in October 2025 as part of MATLAB and Simulink Release 2025b.

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Nov 11, 2025

Productivity

New evidence: MathWorks launches MATLAB Copilot for AI-assisted coding

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Apr 13, 2026

Productivity

Practice documented: MathWorks offers the MATLAB Agentic Toolkit and Simulink Agentic Toolkit, free open-source tools that connect third-party AI coding agents to a live MATLAB or Simulink session so agents can autonomously write, run, test, and debug code without manual copy-pasting. These were released in April 2026.

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Apr 27, 2026

Productivity

Practice documented: MathWorks deployed Polyspace Copilot, a generative AI assistant for the Polyspace embedded code analysis product, as part of Release 2026a in April 2026. It helps software engineers understand and fix coding defects and standards violations detected in C and C++ code.

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Apr 27, 2026

Productivity

Practice documented: MathWorks deployed Simulink Copilot, a generative AI assistant embedded in the Simulink environment, as part of MATLAB and Simulink Release 2026a in April 2026. It helps engineers understand, troubleshoot, and automate tasks in complex system simulation models.

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Apr 28, 2026

Productivity

New evidence: MathWorks Adds AI Copilots to MATLAB and Simulink

Evidence AddedView practice →

Apr 28, 2026

Productivity

New evidence: MathWorks adds AI copilots in MATLAB and Simulink

Evidence AddedView practice →

Recent activity

Data AnalysisVerified

MathWorks offers AI-assisted image and video labeling tools in its Computer Vision Toolbox, using the Segment Anything Model (SAM 2) and Grounding DINO to automatically generate pixel-level labels for training deep learning models. These tools are available to licensed users of the toolbox.

In the Image Labeler and Video Labeler apps, users can invoke SAM 2 to automatically segment objects in images or videos by clicking or drawing regions of interest, or by segmenting an entire image automatically. Separately, Grounding DINO allows users to create bounding box labels for object detection by typing descriptive text (e.g., 'car' or 'person') rather than drawing manually. The output is labeled ground truth data used to train or evaluate deep learning models. These capabilities require the Image Processing Toolbox and Deep Learning Toolbox licenses.

Computer Vision ToolboxImage LabelerVideo LabelerImage Processing ToolboxDeep Learning Toolbox
3 sources · MathWorks · Jan 1, 2024Read full entry →
Data AnalysisVerified

MathWorks offers the Statistics and Machine Learning Toolbox, a product that allows users to build, train, and deploy predictive machine learning models using interactive apps and programmatic tools directly in MATLAB. It has been available for many years and is continuously updated.

The toolbox provides functions and apps for descriptive statistics, clustering, regression, and classification. Users can interactively train models — including support vector machines, boosted decision trees, and shallow neural networks — using the Classification Learner and Regression Learner apps, or programmatically using AutoML. It supports feature extraction from images, signals, text, and numeric data, and includes dimensionality reduction methods such as PCA. Models can be deployed to IT systems via MATLAB Compiler or converted to C code for embedded devices using MATLAB Coder.

Statistics and Machine Learning ToolboxClassification LearnerRegression LearnerMATLAB Coder
2 sources · MathWorks · Jan 1, 2024Read full entry →
Productivity AutomationVerified

MathWorks deployed Polyspace Copilot, a generative AI assistant for the Polyspace embedded code analysis product, as part of Release 2026a in April 2026. It helps software engineers understand and fix coding defects and standards violations detected in C and C++ code.

Polyspace Copilot operates as a plugin within the Visual Studio Code IDE via the Polyspace as You Code extension. It provides tailored explanations of detected coding issues — including violations of MISRA C:2023, MISRA C++:2023, and CERT C/C++ standards — and suggests code fixes in natural language. Users can also ask questions about Polyspace capabilities and receive documentation-grounded answers. The tool supports multilingual interaction.

Polyspace CopilotPolyspace as You CodePolyspace Bug Finder
3 sources · Digital Engineering 24/7 · Apr 28, 2026Read full entry →

All practices by category

7 practices

Cite this record

Trace Foundation. (2026). MathWorks: documented AI practices (data as of 2026-07-20) [Data set record]. AI Trace. https://www.aitrace.org/r/company/01a3accc-e5a0-483c-a8a4-5a234a93ed3b. Accessed October 4, 2026.

Stable link
https://www.aitrace.org/r/company/01a3accc-e5a0-483c-a8a4-5a234a93ed3b
Data as of
July 20, 2026
Last verified
Not recorded

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