The following blog post is from Reed Axman, Strategic Partner Manager at MathWorks.   Deploying AI models to edge devices enables real-time data processing and decision-making without... 더 읽어보기 >>

The R2025a MATLAB release  brings new AI capabilities that make it easier to build, customize, and deploy AI models. No matter your level of AI expertise, whether you prefer hand coding or using... 더 읽어보기 >>

Classifying anomalies in images, that is assigning meaningful categories or descriptions to unexpected patterns, can automate quality control and enhance medical diagnostics. In this blog post, we... 더 읽어보기 >>

For the past decade, AI has brought digital transformation from industrial automation, such as in visual inspection and predictive maintenance, to our everyday life. AI powers the search results we... 더 읽어보기 >>

The following blog post is from Jack Ferrari, Edge AI Product Manager, Joe Sanford, Senior Application Engineer, and Reed Axman, Strategic Partner Manager. We recently attended the Edge AI... 더 읽어보기 >>

As hospitals integrate more advanced patient monitoring systems, the ability to process, analyze, and act on real-time medical data has become critical. Traditional monitoring systems generate large... 더 읽어보기 >>

MATLAB makes it easy to integrate Python®-based AI models into your MATLAB and Simulink workflows. You can call PyTorch® and TensorFlow™ models - or any Python code - directly from MATLAB. For... 더 읽어보기 >>

In computer vision, pretrained models are often used and adapted to the task at hand by performing transfer learning. Transfer learning involves modifying and retraining a pretrained network with... 더 읽어보기 >>

Deep neural networks like convolutional neural networks (CNNs) and long-short term memory (LSTM) networks can be applied for image- and sequence-based deep learning tasks. Graph neural networks... 더 읽어보기 >>

Today is the last day of 2024. Most of you are busy with non-AI, non-programming, non-thinking-about-work preparations for the new year. Nevertheless, I wanted to wrap up this year by looking back... 더 읽어보기 >>