Artificial Intelligence

Apply machine learning and deep learning

Posts 11 - 20 of 135

PyTorch Models and Git in MATLAB Online

The following post is from Yann Debray, Product Manager for MATLAB Online, and Sivylla Paraskevopoulou, Product Marketing Manager for AI. Do you use MATLAB Online to create AI workflows? Do you... 더 읽어보기 >>

What’s New for Low-Code AI in MATLAB R2023b

With every MATLAB release, the low-code AI apps offer new features that make integrating AI into your workflow easier, faster, and more interactive. To catch up on what's new, I've written... 더 읽어보기 >>

Verification and Validation for AI: From requirements to robust modeling

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the second post in a 4-post series on Verification and Validation for AI. In the first post, we gave an... 더 읽어보기 >>

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... 더 읽어보기 >>

MATLAB with TensorFlow from Your Jupyter Notebook 3

The MATLAB Kernel for Jupyter® (GitHub: jupyter-matlab-proxy) was released a few months ago. The MATLAB Kernel for Jupyter now supports Windows®, in addition to macOS® and Linux®. In this blog... 더 읽어보기 >>

The Road to AI Certification: The importance of Verification and Validation in AI

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. Artificial Intelligence (AI) is rapidly transforming our daily lives, from personal assistants on our... 더 읽어보기 >>

Explainable AI (XAI): Implement explainability in your work 1

This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU. This is the third post in a 3-post series on Explainable AI (XAI). In the first post, we showed... 더 읽어보기 >>

Transfer Learning Made Easy

Transfer learning is the process of fine tuning a pretrained model to your task. In this blog post, we will show you how to modify a pretrained convolutional neural network for classifying new... 더 읽어보기 >>

Explainable AI (XAI): Are we there yet?

This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU.   This is the second post in a 3-post series on Explainable AI (XAI). The first post... 더 읽어보기 >>

What’s New for Low-Code AI in MATLAB R2023a

MATLAB provides low-code apps for designing, tuning, assessing, and optimizing AI models. In this blog post, I am going to present some of the app features that were introduced in MATLAB R2023a.... 더 읽어보기 >>

Posts 11 - 20 of 135

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