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Artificial Intelligence

Apply machine learning and deep learning

Posts 11 - 20 of 173

Accelerate Edge AI with the Hexagon Hardware Support Package

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... 続きを読む >>

AI with MATLAB: Five New Things to Check Out 1

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... 続きを読む >>

LLM-Enhanced Anomaly Classification for Images

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... 続きを読む >>

Physical AI: AI Beyond the Digital World

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

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... 続きを読む >>

Graph Neural Networks in MATLAB 1

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... 続きを読む >>

AI with MATLAB: 3 things that happened in 2024 2

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... 続きを読む >>

Posts 11 - 20 of 173

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。