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Artificial Intelligence

Apply machine learning and deep learning

Posts 51 - 60 of 176

Visual Inspection Code-Along

Visual inspection is the image-based inspection of parts where a camera scans the part under test for failures and quality defects. By using deep learning and computer vision techniques, visual... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

The Road to AI Certification: The importance of Verification and Validation in AI 1

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

Posts 51 - 60 of 176

これらの投稿は著者に属するものであり、必ずしも MathWorks の見解を示すものではありません。