Artificial Intelligence
Apply machine learning and deep learning

Posts 1 - 10 of 142

結果: Deep Learning

Apply AI with New R2024b Examples

著者 Sivylla Paraskevopoulou, September 24, 2024

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 >>

カテゴリ:: AI Application,; Deep Learning,; Deep Learning Example,; Machine Learning,; New features

R2024b: A Peek into New AI Features

著者 Sivylla Paraskevopoulou, September 17, 2024

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 >>

カテゴリ:: Deep Learning,; Machine Learning,; New features

Embedded AI Integration with MATLAB and Simulink 3

著者 Sivylla Paraskevopoulou, September 4, 2024

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 >>

カテゴリ:: AI Application,; Deep Learning,; Embedded AI,; Machine Learning,; MATLAB and Simulink,; Webinar

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

著者 Sivylla Paraskevopoulou, August 20, 2024

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 >>

カテゴリ:: Deep Learning,; MATLAB and Simulink,; MATLAB with Python,; New features,; PyTorch,; TensorFlow

Automating Visual Inspection with AI and PLC

著者 Sivylla Paraskevopoulou, August 7, 2024

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 >>

カテゴリ:: AI Application,; Deep Learning

Local LLMs with MATLAB 2

著者 Sivylla Paraskevopoulou, July 9, 2024

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 >>

カテゴリ:: Deep Learning,; Deep Learning Example

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

著者 Sivylla Paraskevopoulou, June 10, 2024

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 >>

カテゴリ:: Deep Learning,; Deep Learning Example,; Explainable AI,; MATLAB with Python,; New features,; PyTorch,; TensorFlow

Building Confidence in AI with Constrained Deep Learning

著者 Sivylla Paraskevopoulou, May 30, 2024

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 >>

カテゴリ:: AI verification,; Deep Learning,; New features

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

著者 Sivylla Paraskevopoulou, May 15, 2024

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... 続きを読む >>

カテゴリ:: Deep Learning,; Deep Learning Example,; MATLAB with Python,; New features,; PyTorch

Verification and Validation for AI: From model implementation to requirements validation 1

著者 Sivylla Paraskevopoulou, April 30, 2024

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post of our Verification and Validation for AI post series. Check out our... 続きを読む >>

カテゴリ:: AI verification,; Blog Series,; Deep Learning,; Machine Learning

Posts 1 - 10 of 142

結果: Deep Learning

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