Artificial Intelligence

Apply machine learning and deep learning

Posts 1 - 10 of 149

MATLAB EXPO 2024: AI Innovation in Engineering Projects 2

MATLAB EXPO 2024 is back! Attend this online event that brings together engineers, scientists, and researchers from around the world to explore the latest advancements in AI, algorithm... 続きを読む >>

Apply AI with New R2024b Examples

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... 続きを読む >>

R2024b: A Peek into New AI Features

MATLAB R2024b is the latest release and available for you to try. I am here to talk specifically about new AI features in the latest release, and if you're interested in other features, check out... 続きを読む >>

Embedded AI Integration with MATLAB and Simulink 3

Embedded AI, that is the integration of artificial intelligence and embedded systems, enables devices to process data and make decisions locally. It enhances efficiency, reduces latency, and... 続きを読む >>

Simulate PyTorch and Other Python-Based Models with Simulink Co-Execution Blocks

This blog post is from Maggie Oltarzewski, Product Marketing Engineer at MathWorks. In R2024a, four new blocks for co-executing deep learning models in Simulink were added to Deep Learning... 続きを読む >>

Automating Visual Inspection with AI and PLC

The following post is from Sagar Hukkire, application engineer for AI, and Conrado Ramirez Garcia, application engineer for design automation and code generation. Visual inspection is the... 続きを読む >>

Local LLMs with MATLAB 2

Local large language models (LLMs), such as llama, phi3, and mistral, are now available in the Large Language Models (LLMs) with MATLAB repository through Ollama™! This is such exciting news that I... 続きを読む >>

Export Models from Machine Learning Apps to Simulink

In this blog post, I am going to show you the most interactive way to create a Simulink model that includes a machine learning model by using the Classification Learner app. Simulating and testing... 続きを読む >>

Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models

In R2024a, Deep Learning Toolbox Verification Library introduced the d-rise function. D-RISE is an explainability tool that helps you visualize and understand  which parts are important for object... 続きを読む >>

Building Confidence in AI with Constrained Deep Learning

Constrained deep learning is an advanced approach to training robust deep neural networks by incorporating constraints into the learning process. These constraints can be based on physical laws,... 続きを読む >>

Posts 1 - 10 of 149

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