Artificial Intelligence

Apply machine learning and deep learning

Results for: AI Application

Deep Learning Toolbox R2024a: Major Update and New Examples 2

On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep learning help engineers create and use explainable, robust, and scalable deep... read more >>

Data-Driven Control with MATLAB and Simulink

The following blog post is from Melda Ulusoy, Technical Marketing Manager at MathWorks. One of artificial intelligence (AI)’s first big successes was solving image classification problems with... read more >>

Lidar Code-Along

Lidar (light detection and ranging) is a remote sensing technology. Lidar sensors emit laser pulses that reflect off objects, allowing them to perceive the structure of their surroundings. The... read more >>

Visual Inspection Code-Along

Visual inspection is the image-based inspection of parts where a camera scans the part under test for failures and quality defects. By using deep learning and computer vision techniques, visual... read more >>

Virtual Sensors with AI and Model-Based Design

Virtual sensors can be used in any system where real-time monitoring and control are required, and where the use of physical sensors might be impractical or costly. Leveraging AI techniques can... read more >>

Apply AI with New R2023a Examples

There are many new examples in the documentation of the latest MATLAB release (R2023a) that show how to use and apply the newest machine learning and deep learning features. Feel free to take a deep... read more >>

Using AI for Reduced-Order Modeling

The following post is from Lucas Garcia, Deep Learning Product Manager at MathWorks. This blog discusses the MathWorks’ presence at NeurIPS 2022 and my talk on ‘Using AI for Reduced-Order... read more >>