About VisionLabX
VisionLabX is a space dedicated to exploring the intersection of artificial intelligence, emotion, and human experience. The work includes research on advanced Facial Expression Recognition (FER), vibrational emotion detection, and thought-driven AI systems.
Current contributions include research papers on optimizing FER models using hybrid deep learning techniques, exploring empathic AI through vibrational signatures, and theoretical perspectives on time and the structure of the universe.
VisionLabX also features original articles and concepts that blend scientific insight with creative thought, inviting readers to explore both the technical and philosophical sides of intelligent systems.
Research & Publications
Living in a Black Hole?
Explores the possibility that our universe exists inside a black hole—rethinking time, gravity, and dark energy.
Read ArticleOptimizing FER
A unified approach using hybrid deep learning techniques to improve facial emotion recognition accuracy.
Read PaperToward Empathic AI
Investigates vibrational signatures of human emotions to design AI systems with deeper emotional awareness.
Read PaperProjects
Get in Touch
For research collaborations, inquiries, or project discussions, feel free to reach out.
- Email: maryum@visionlabx.com
- Website: www.visionlabx.com
- Kaggle: https://www.kaggle.com/maryumfahad