This blog post is from Mae Markowski, Senior Product Manager at MathWorks. Physics-informed machine learning is a branch of Scientific Machine Learning (SciML) that combines physical laws with... 更多内容 >>
What Is Physics-Informed Machine Learning?
Artificial IntelligenceApply machine learning and deep learning
搜索结果: Deep Learning
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 relying on... 更多内容 >>
AI with MATLAB: Five New Things to Check Out
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... 更多内容 >>
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... 更多内容 >>
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... 更多内容 >>
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... 更多内容 >>
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... 更多内容 >>
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... 更多内容 >>
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... 更多内容 >>
- 类别:
- Deep Learning
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... 更多内容 >>
- 类别:
- Deep Learning