Data: The fertilizer for next-gen AI products

Ilias Tagkopoulos talked with Jonathan Vanian, at Fortune, about the vision and challenges in transforming the food system from farm to fork through the work of the AI Institute for Next Generation Food Systems (AIFS).

In the article titled: How AI may impact what you eat, Dr. Ilias Tagkopoulos, PIPA founder and USDA AIFS director and principal investigator, discussed the goals of the government-funded collaboration between UC Davis, UC Berkeley, Cornell, and other organizations.

“One of the goals of the AIFS is to create and maintain a dataset that would be akin to ImageNet, a huge collection of labeled photos that famously helped computer-vision systems identify objects in photos, like cats. The agricultural version would include information like annotated photos of crop fields and sensor data from Internet-connected farming devices like thermometers used by farmers to monitor air temperature and humidity levels.”

Building an AI-driven food system for the families of today and tomorrow.

Explaining the Institute’s mission, Dr. Tagkopoulos highlighted howm the Institute will enable the scientific community to leverage cleaned, labeled agriculture data to train ML models that in turn will support the production of nutrient-rich, functional foods.

To read the full article visit: (paywall)

Share post:

Want to stay up-to-date with our updates?

Subscribe to our newsletter and be the first to learn the latest developments in predictive AI.

Subscribe to our newsletter