Research
Understanding How the Brain Makes Decisions Prof. Christine Constantinople | NYU Using neural networks to model how the brain processes decisions and behavior. Challenge 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. Many neurological […]
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.
Malaria remains one of the world’s most persistent and deadly infectious diseases, affecting 263 million people annually, many of them children. A CUNY Researcher is using Empire AI to help uncover potential treatments.
Climate change is already driving significant impacts across New York, with projections estimating $10 billion in annual damages by 2050. Researchers are developing high-resolution climate models using AI to predict local impacts such as flooding and extreme heat.
Rare genetic mutations that can lead to severe brain and muscle developmental disorders affect approximately 1 in 6,000 infants and often result in lifelong disability or early death. A SUNY Researcher is using Empire AI for insights that could help lead to effective treatments.
As demand for renewable energy grows, so does the need for large-scale energy storage solutions. However, most modern batteries rely on minerals whose extraction can cause significant environmental degradation. Empire AI is helping to identify alternatives.
Cardiovascular disease is the leading cause of death in New York State. Early detection is critical, yet diagnosis often depends on interpreting complex imaging data that can require significant time and expertise. The AI models Prof Yan and his team have developed analyze imaging and patient data together to deliver faster, more accurate diagnostics.
