Advancing AI across diverse frontiers

Research direction

AI for Science

AI for Science

Our AI for Science research aims at advancing quantum chemistry with cutting edge computational techniques from the past decade’s AI development. We believe the future of quantum chemistry to be an organic integration of ab-initio physics complemented with models learned with data for the best trade-off on speed and accuracy.

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AI Systems

AI Systems

Our research focuses on developing novel techniques to improve machine learning systems, with three primary objectives: maximizing throughput, minimizing latency and overcoming resource constraints.

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Trustworthy AI

Trustworthy AI

At Sea AI Lab, we are committed to developing AI that is safe, private, fair, and legally compliant. Our Trustworthy AI research focuses on tackling these critical challenges, ensuring that AI technologies are deployed responsibly and for the benefit of society. By prioritizing human welfare and ethical AI practices, we aim to build systems that are not only powerful but also reliable and aligned with societal values.

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Generative AI

Generative AI

Our Generative AI research is dedicated to advancing the core probabilistic foundations of machine learning, developing cutting-edge models and algorithms, and ultimately driving a revolution in artificial intelligence. Our work is structured around three core aspects: fundamental tools, theoretical understanding, and broad applications.

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Language Models

Language Models

Large language models, a cornerstone of modern AI, are reshaping industries and accelerating innovation across diverse domains. At Sea AI Lab, we conduct research to develop smarter language models and transform them into productivity.

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Publications

About us

Powerful tools

Sharing fuels innovation in the field. We openly share the code that replicates our research findings and offer the tools we've developed in the form of user-friendly packages. We greatly value feedback and are enthusiastic about opportunities for collaboration.

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EditAnything

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PoolFormer

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EnvPool

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More on Github

About us

Join us now

Exceptional research emerges from the collaborative endeavor of math, science and engineering. We value the unique blend of expertise that stems from these fields. We are seeking exceptional talents with deep passion and robust background in these areas to join us in pushing the boundaries of AI.

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