Apply AI with New R2024b Examples

Posted by Sivylla Paraskevopoulou, September 24, 2024

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In my last post, I talked about new AI features introduced with MATLAB R2024b - the latest release, which is now available to you. In this blog post, I am going to present a few new and exciting examples on AI workflows, AI areas (computer vision and natural language processing), and AI applications.

To find more new AI examples, see the Deep Learning Toolbox release notes for application examples. Did you find the right example that helps you apply AI? Is there an example you would like to see but doesn't exist? Comment below!

AI Workflows

Compression	AI with Simulink	Performance

Reduce Memory Footprint of Deep Neural Networks	Export Quantized Networks to Simulink and Generate Code	Profile Your Deep Learning Code to Improve Performance
End-to-End Workflow

Battery State Estimation Using Deep Learning

AI Branches


Computer Vision	Natural Language Processing

Automatically Label Ground Truth Using Segment Anything Model (SAM)	Out-of-Distribution Detection for BERT Document Classifier

Detect Small Objects Using Tiled Training of YOLOX Network	Retrieval Augmented Generation Using ChatGPT and MATLAB (GitHub)

For natural language processing (NLP), check out the Large Language Models (LLMs) with MATLAB repository, which also provides examples with LLMs. In a previous blog post, we described some of the NLP tasks you can tackle by using the code in the repository. This blog post focused on accessing local LLMs.

AI Applications


AI for Signal Processing	AI for Wireless Communications

Machine Learning and Deep Learning Classification Using Signal Feature Extraction Objects	Compare Residual Recurrent Neural Network Structures for Digital Predistortion Design