Research

Transformative AI for Scientific Advancement

AI for Scientific Research

We are dedicated to leveraging AI for scientific discovery, particularly in areas such as new molecule design, protein-protein interactions, and genomic variance analysis. Our goal is to apply advanced machine learning techniques to accelerate breakthroughs in these fields, helping to solve complex biological and chemical challenges.

Adversarial Machine Learning

Our research focuses on adversarial Machine Learning, where we develop methods to both simulate and defend against adversarial attacks. This work is crucial for ensuring that AI systems remain robust and reliable in the face of increasingly sophisticated threats.

Collaborative Research

We actively collaborate with experts across various fields to ensure our research is comprehensive and grounded in real-world needs. This includes partnerships with cognitive scientists, biologists, chemists, and other AI researchers to explore and address challenges in AI-driven scientific research.

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