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... read more >>

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... read more >>

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... read more >>

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... read more >>

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... read more >>

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... read more >>

As NeurIPS 2024 comes to a close, I am thinking back to all the inspiring presentations and conversations with brilliant AI researchers. It was clear that scientists are committed to bringing the... 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 >>

In the world of deep learning, transformer models have generated a significant amount of buzz. They have dramatically improved performance across many AI applications, from natural language... read more >>

The following blog post is from Melda Ulusoy, Principal Product Marketing Manager at MathWorks, and Kishen Mahadevan, Senior Product Manager at MathWorks. Reduced order modeling is a collection of... read more >>