AI Research for the
Public Good
Empire AI puts world-class computing power in the hands of New York’s leading researchers to accelerate discovery, solve real-world problems, and advance the public good.
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Latest Research
Columbia University researcher Dr. Andrew Smyth and his team are using Emipire AI to accurately and efficiently measure New York City traffic volume to support decision-making to improve transportation infrastructure and public safety,
University of Buffalo researchers are using Empire AI to analyze billions of molecular interactions, identify promising drug candidates, and accelerate the development of new treatments for a wide range of diseases.
Many important technologies depend on complex chemical reactions occurring at materials’ surfaces, but accurately simulating what happens during these interactions requires enormous computing power. University of Rochester researchers are using Empire AI to discover more about these interactions in hopes of boosting chemical manufacturing efficiency.
As climate change increases the frequency and intensity of heavy rainfall, hyperlocal flooding is becoming a growing challenge for New York City where flooding can develop quickly. A CUNY research team is using Empire AI to predict where flooding will occur, evaluate which events are likely to have the greatest impact and recommend how limited response resources should be prioritized.
Researchers at NYU created the world's largest public dataset of AI-generated conversations to uncover how synthetic training data shapes the performance of large language models. Their work is helping make AI systems more capable, reliable and accessible while giving researchers across New York and beyond a powerful new resource for advancing open AI.
