Artificial Intelligence

Apply machine learning and deep learning

Results for: 2025

Highlights from the Edge AI Foundation’s Austin 2025 Conference

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 >>

Scaling AI for Real-Time Patient Monitoring with MATLAB and AWS

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 >>

Bring PyTorch Models in Your Live Script with an Interactive Task

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 >>

Transfer Learning for Grayscale Images

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 >>

Graph Neural Networks in MATLAB

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 >>