Particularly, we introduce a hybrid architecture for mental disorder detection leveraging the state-of-the-art object detection algorithm, YOLOv8 to detect and classify visual cues associated with ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Understanding human emotions has historically posed significant challenges due to the complexities inherent in the human psyche. Recent advancements in artificial intelligence (AI) and machine ...

This project leverages YOLOv7, a cutting-edge real-time object detection algorithm, to detect emotions in faces within images. The system is designed to enhance facial emotion recognition capabilities ...

Emotion Detection Using Convolutional Neural Networks (CNNs) Last Updated : 22 May, 2024 Emotion detection, also known as facial emotion recognition, is a fascinating field within the realm of ...

In this study, we proposed an interpretable end-to-end framework for EEG emotion recognition based on the transformer architecture. The framework uses EEG signals as input without the need for complex ...

LAION, one of the groups behind Stable Diffusion, is trying to create emotion-detecting AI. It's an ethical minefield.