OpenNN

Open Neural Network Research Lab is an innovative, open research community dedicated to pioneering next-generation neural networks. We bring together deep learning researchers and practitioners from diverse companies and laboratories to explore new possibilities in deep learning, optimization, and medical imaging analysis.

Research Topics

Neural Network Theory

Exploring the fundamental theories behind artificial neural networks, optimization, and learning dynamics.

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Large Language Model

Researching Large Language Models, text generation, fine-tuning, and their real-world applications.

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Medical Deep Learning

Developing AI-driven models for medical diagnostics, image analysis, and predictive healthcare.

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Members

Statement


OpenNN is an open research lab where deep learning enthusiasts from diverse backgrounds unite to push the boundaries of next-generation neural networks. We are a non-commercial, community-driven research group dedicated to making AI stronger, lighter, and more reliable for a better future. Advancing neural network theory is crucial. As AI becomes deeply integrated into critical fields—medicine, science, and decision-making—its reliability, efficiency, and interpretability must evolve. A more principled understanding leads to AI that is not just powerful, but also trustworthy and accessible.

Driven by pure curiosity and passion, we believe in open collaboration—every project belongs to its contributors, ensuring transparency and shared ownership. Supported by Modulabs, we welcome anyone eager to explore and refine neural networks at their core. Join us, and let’s shape the future of AI—through deeper understanding and stronger foundations.

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