![](https://blogs.mathworks.com/deep-learning/files/2024/10/decoder_architecture.png)
In this previous blog post, we explored the key aspects and benefits of transformer models, described how you can use pretrained models with MATLAB, and promised a blog post that shows you how to... read more >>
In this previous blog post, we explored the key aspects and benefits of transformer models, described how you can use pretrained models with MATLAB, and promised a blog post that shows you how to... read more >>
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... read more >>
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... read more >>
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... read more >>
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... read more >>
On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep learning help engineers create and use explainable, robust, and scalable deep... read more >>
The following blog post is from Melda Ulusoy, Technical Marketing Manager at MathWorks. One of artificial intelligence (AI)’s first big successes was solving image classification problems with... read more >>
Lidar (light detection and ranging) is a remote sensing technology. Lidar sensors emit laser pulses that reflect off objects, allowing them to perceive the structure of their surroundings. The... read more >>
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... read more >>
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... read more >>