AI Research for the
Public Good

Lung cancer is the leading cause of cancer-related death worldwide, but today’s screening programs face major barriers. Using Empire AI, an RPI researcher is developing a system that learns from large-scale, real-world data to identify subtle patterns that may not be clearly visible to clinicians to offer earlier, more accurate diagnoses.

The rise of generative AI in music has introduced new opportunities but also significant concerns. A Cornell researcher is using Empire AI to develop AI tools that enhance rather than replace creativity, ensuring that artists remain at the center of the creative process.

Mental health disorders affect approximately 1 in 5 New Yorkers each year, yet the underlying mechanisms of how the brain makes decisions and processes information remain poorly understood. An NYU researcher is using Empire AI to model brain activity and advance our understanding of how the brain functions and shed light on mental health disorders.

Widely used large language models often function as “black boxes,” making their outputs difficult to predict or control and limiting their safe deployment in some sensitive domains, like healthcare, education and public services. A Cornell research team is working to allow users to better guide AI outputs.

Prostate cancer is one of the most common cancers among men, impacting approximately 15,550 patients annually, but aggressive subtypes can be difficult to detect early. Empire AI is helping to identify these types of cancers, which could improve patient outcomes.