Nutrition, a relatively young discipline at only 100 years old, can be enhanced by the integration of artificial intelligence (AI). By combining the two, personalized health advice can be provided instead of the traditional one-size-fits-all approach. Researchers at Cornell University are utilizing generative AI to develop health dashboards and chatbots that utilize clinical data from reliable sources. This initiative is part of Empire AI, a $400 million project aimed at creating a shared academic research computing facility. The consortium, consisting of seven leading universities and research institutions in New York, including Cornell, seeks to promote responsible and beneficial AI research. The application of AI in nutrition and health-related decisions can accelerate the implementation of programs such as medically tailored meals and grocery prescriptions.

By utilizing AI, dietary guidelines can be more effectively adopted, policies can be defined, and subsidies can be quantified. The Empire AI institutions will employ computational methods to advance research in various fields, including nutrition, climate change, material discovery, and health. At Cornell, AI models are being used in medical contexts such as radiology and lettuce greenhouse energy efficiency. AI is employed to systematize radiologists' language, reducing their workload and streamlining patient care. For the lettuce farming industry, AI controllers have been developed to minimize energy consumption, potentially resulting in lower produce prices for consumers. The consortium and research facility aim to alleviate public concerns about the negative effects of AI by promoting transparency and responsible use of the technology.