Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

We are currently training with the following code: yolov8Det = trainYOLOv8ObjectDetector('data.yaml', 'yolov8n.pt', ImageSize=[720 720 3], MaxEpochs=10); The structure of yolov8n.pt that we are using ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...