Artificial Intelligence

Apply machine learning and deep learning

Posts 1 - 10 of 143

다음에 대한 결과: Deep Learning

MATLAB EXPO 2024: AI Innovation in Engineering Projects

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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... 더 읽어보기 >>

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,... 더 읽어보기 >>

Data Type Conversion Between MATLAB and Python: What’s New in R2024a 2

When combining MATLAB with Python® to create deep learning workflows, data type conversion between the two frameworks can be time consuming and sometimes perplexing. I 've certainly experimented... 더 읽어보기 >>

Posts 1 - 10 of 143